{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 地理/逆地理编码"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 介绍  \n",
    "地理编码/逆地理编码 API 是通过 HTTP/HTTPS 协议访问远程服务的接口，提供结构化地址与经纬度之间的相互转化的能力。  \n",
    "（结构化地址的定义： 首先，地址肯定是一串字符，内含国家、省份、城市、区县、城镇、乡村、街道、门牌号码、屋邨、大厦等建筑物名称。按照由大区域名称到小区域名称组合在一起的字符。一个有效的地址应该是独一无二的。）  \n",
    "### 应用场景  \n",
    "* 地理编码：将详细的结构化地址转换为高德经纬度坐标。且支持对地标性名胜景区、建筑物名称解析为高德经纬度坐标。  \n",
    "（例：结构化地址举例：北京市朝阳区阜通东大街6号转换后经纬度：116.480881,39.989410） \n",
    "\n",
    "* 逆地理编码：将经纬度转换为详细结构化的地址，且返回附近周边的POI、AOI信息。  \n",
    "（例：116.480881,39.989410 转换地址描述后：北京市朝阳区阜通东大街6号）  \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### A-1 地理编码\n",
    "def定义函数名geocode，定义参数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import requests\n",
    "key_jw =\"99b6fd576c6cb06dc071b44d30935237\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'status': '1', 'info': 'OK', 'infocode': '10000', 'count': '1', 'geocodes': [{'formatted_address': '广东省广州市海珠区鹅潭明珠苑', 'country': '中国', 'province': '广东省', 'citycode': '020', 'city': '广州市', 'district': '海珠区', 'township': [], 'neighborhood': {'name': [], 'type': []}, 'building': {'name': [], 'type': []}, 'adcode': '440105', 'street': [], 'number': [], 'location': '113.251893,23.092342', 'level': '兴趣点'}]}\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>formatted_address</th>\n",
       "      <th>country</th>\n",
       "      <th>province</th>\n",
       "      <th>citycode</th>\n",
       "      <th>city</th>\n",
       "      <th>district</th>\n",
       "      <th>township</th>\n",
       "      <th>adcode</th>\n",
       "      <th>street</th>\n",
       "      <th>number</th>\n",
       "      <th>location</th>\n",
       "      <th>level</th>\n",
       "      <th>neighborhood.name</th>\n",
       "      <th>neighborhood.type</th>\n",
       "      <th>building.name</th>\n",
       "      <th>building.type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>广东省广州市海珠区鹅潭明珠苑</td>\n",
       "      <td>中国</td>\n",
       "      <td>广东省</td>\n",
       "      <td>020</td>\n",
       "      <td>广州市</td>\n",
       "      <td>海珠区</td>\n",
       "      <td>[]</td>\n",
       "      <td>440105</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>113.251893,23.092342</td>\n",
       "      <td>兴趣点</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  formatted_address country province citycode city district township  adcode  \\\n",
       "0    广东省广州市海珠区鹅潭明珠苑      中国      广东省      020  广州市      海珠区       []  440105   \n",
       "\n",
       "  street number              location level neighborhood.name  \\\n",
       "0     []     []  113.251893,23.092342   兴趣点                []   \n",
       "\n",
       "  neighborhood.type building.name building.type  \n",
       "0                []            []            []  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "革新路地理编码: 113.251893,23.092342\n"
     ]
    }
   ],
   "source": [
    "def geocode(address,city=None,batch=None,sig=None)->dict:\n",
    "    \"\"\"获取地理编码\"\"\"\n",
    "    url = 'https://restapi.amap.com/v3/geocode/geo?parameters'\n",
    "    params={\n",
    "        'key': key_jw,\n",
    "        'address':address,\n",
    "        'city':city,\n",
    "        'batch':batch,\n",
    "        'sig':sig, \n",
    "    }\n",
    "    response = requests.get(url,params=params)\n",
    "    data = response.json()\n",
    "    return data\n",
    "革新路 = geocode(address='广东省广州市海珠区革新路鹅潭明珠苑')\n",
    "print(革新路)\n",
    "df_革新路地理编码 = pd.json_normalize(革新路['geocodes'])\n",
    "display(df_革新路地理编码)\n",
    "革新路地理编码 = 革新路['geocodes'][0]['location']\n",
    "print(\"革新路地理编码:\",革新路地理编码)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 逆地理编码\n",
    " A-2 基础逆地理编码分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import json\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'status': '1', 'regeocode': {'roads': [{'id': '020F49F01104226282', 'location': '113.252,23.0924', 'direction': '西', 'name': '龙凤街', 'distance': '34.2695'}, {'id': '020F49F01104222908', 'location': '113.252,23.0928', 'direction': '南', 'name': '新民八街', 'distance': '47.091'}, {'id': '020F49F011042645683', 'location': '113.251,23.0919', 'direction': '东北', 'name': '环岛路', 'distance': '73.6727'}], 'roadinters': [{'second_name': '龙凤街', 'first_id': '020F49F01104222908', 'second_id': '020F49F01104226282', 'location': '113.252207,23.092758', 'distance': '56.3525', 'first_name': '新民八街', 'direction': '西南'}], 'formatted_address': '广东省广州市海珠区龙凤街道鹅潭明珠苑', 'addressComponent': {'city': '广州市', 'province': '广东省', 'adcode': '440105', 'district': '海珠区', 'towncode': '440105009000', 'streetNumber': {'number': '41号', 'location': '113.251819,23.092540', 'direction': '北', 'distance': '23.2938', 'street': '新民八街'}, 'country': '中国', 'township': '龙凤街道', 'businessAreas': [{'location': '113.257067,23.093347', 'name': '龙凤', 'id': '440105'}, {'location': '113.252084,23.102089', 'name': '洪德', 'id': '440105'}, {'location': '113.275975,23.089860', 'name': '昌岗', 'id': '440105'}], 'building': {'name': [], 'type': []}, 'neighborhood': {'name': '鹅潭明珠苑', 'type': '商务住宅;住宅区;住宅小区'}, 'citycode': '020'}, 'aois': [{'area': '2876.262348', 'type': '120302', 'id': 'B00140NYEN', 'location': '113.251823,23.092214', 'adcode': '440105', 'name': '鹅潭明珠苑', 'distance': '0'}, {'area': '18340.502913', 'type': '120302', 'id': 'B00140UFEH', 'location': '113.252988,23.092012', 'adcode': '440105', 'name': '富泽园', 'distance': '36.465'}, {'area': '23459.741591', 'type': '120302', 'id': 'B00140UFG4', 'location': '113.252668,23.090862', 'adcode': '440105', 'name': '金碧湾', 'distance': '47.4557'}], 'pois': [{'id': 'B00140NYEN', 'direction': '西南', 'businessarea': '龙凤', 'address': '革新路新民八路39号', 'poiweight': '0.354302', 'name': '鹅潭明珠苑', 'location': '113.251823,23.092214', 'distance': '15.9387', 'tel': [], 'type': '商务住宅;住宅区;住宅小区'}, {'id': 'B00140UFEH', 'direction': '东', 'businessarea': '龙凤', 'address': '革新路116-19号', 'poiweight': '0.457', 'name': '富泽园', 'location': '113.252988,23.092012', 'distance': '117.866', 'tel': '020-89601672;020-34129836', 'type': '商务住宅;住宅区;住宅小区'}, {'id': 'B00140UFG4', 'direction': '东南', 'businessarea': '龙凤', 'address': '革新路105号', 'poiweight': '0.472508', 'name': '金碧湾', 'location': '113.252668,23.090862', 'distance': '182.674', 'tel': '020-84333318', 'type': '商务住宅;住宅区;住宅小区'}, {'id': 'B0FFFS0ETO', 'direction': '西北', 'businessarea': '龙凤', 'address': '革新路新民八街36号', 'poiweight': '0.252964', 'name': '大阪仓1904创意产业园', 'location': '113.251206,23.093408', 'distance': '137.811', 'tel': [], 'type': '商务住宅;产业园区;产业园区'}, {'id': 'B00140IBWN', 'direction': '东', 'businessarea': '龙凤', 'address': '革新路116-5号', 'poiweight': '0.373797', 'name': '中国农业银行(革新路支行)', 'location': '113.253420,23.092435', 'distance': '156.533', 'tel': '020-34129261;95599', 'type': '金融保险服务;银行;中国农业银行'}, {'id': 'B00141K7FG', 'direction': '东', 'businessarea': '龙凤', 'address': '革新路富泽园二街15号', 'poiweight': '0.205502', 'name': '海珠区富泽园幼儿园', 'location': '113.252755,23.092566', 'distance': '91.6243', 'tel': '020-34129836', 'type': '科教文化服务;学校;幼儿园'}, {'id': 'B0FFGDKO4X', 'direction': '东', 'businessarea': '龙凤', 'address': '革新路富泽园富泽一街53号', 'poiweight': '0.189106', 'name': '高八度音乐空间(富泽店)', 'location': '113.253202,23.092092', 'distance': '136.742', 'tel': '13229921670', 'type': '科教文化服务;培训机构;培训机构'}, {'id': 'B00141WSB0', 'direction': '西南', 'businessarea': '龙凤', 'address': '革新路124号附近', 'poiweight': '0.351653', 'name': '广州志愿者公园-志愿者公园北区', 'location': '113.251308,23.091367', 'distance': '123.837', 'tel': [], 'type': '风景名胜;公园广场;公园'}, {'id': 'B00141R5B9', 'direction': '西南', 'businessarea': '龙凤', 'address': '天鹅街13号', 'poiweight': '0.389057', 'name': '广州志愿者公园', 'location': '113.251281,23.091398', 'distance': '122.209', 'tel': [], 'type': '风景名胜;公园广场;公园'}, {'id': 'B0FFG23DPS', 'direction': '北', 'businessarea': '龙凤', 'address': '革新路新民六街29号之四', 'poiweight': '0.185321', 'name': '思锐培育世界(革新路分校)', 'location': '113.252107,23.093437', 'distance': '123.714', 'tel': '020-34157892', 'type': '科教文化服务;培训机构;培训机构'}, {'id': 'B00140PCRM', 'direction': '东北', 'businessarea': '龙凤', 'address': '新民六街14号', 'poiweight': '0.21046', 'name': '广州市海珠区新民六街小学新民六街校区', 'location': '113.252920,23.093906', 'distance': '203.195', 'tel': '020-84278539', 'type': '科教文化服务;学校;小学'}, {'id': 'B00141K95M', 'direction': '东南', 'businessarea': '龙凤', 'address': '革新路118号之5号', 'poiweight': '0.174873', 'name': '金碧湾艺术幼儿园', 'location': '113.252979,23.090941', 'distance': '191.316', 'tel': '020-34158446;020-34159510', 'type': '科教文化服务;学校;幼儿园'}, {'id': 'B00140UVH0', 'direction': '东南', 'businessarea': '龙凤', 'address': '革新路118号', 'poiweight': '0.455543', 'name': '龙凤派出所', 'location': '113.253654,23.091050', 'distance': '230.394', 'tel': '020-34129279', 'type': '政府机构及社会团体;公检法机构;公安警察'}, {'id': 'B0FFHU7BOA', 'direction': '东', 'businessarea': '龙凤', 'address': '革新路117号A02档', 'poiweight': '0.265519', 'name': '郑远元专业修脚房(革新路店)', 'location': '113.253483,23.092206', 'distance': '163.341', 'tel': [], 'type': '医疗保健服务;医疗保健服务场所;医疗保健服务场所'}, {'id': 'B00140UFIL', 'direction': '东', 'businessarea': '龙凤', 'address': '乐善大街11号', 'poiweight': '0.164082', 'name': '新凤凰幼儿园', 'location': '113.254270,23.093267', 'distance': '263.999', 'tel': '020-34036177', 'type': '科教文化服务;学校;幼儿园'}, {'id': 'B00140NYLV', 'direction': '北', 'businessarea': '龙凤', 'address': '革新路新民五街48号', 'poiweight': '0.261181', 'name': '海逸半岛(新民大街)', 'location': '113.251796,23.094125', 'distance': '198.524', 'tel': [], 'type': '商务住宅;住宅区;住宅小区'}, {'id': 'B00140NYM5', 'direction': '北', 'businessarea': '龙凤', 'address': '龙凤街道革新路新民五街62号', 'poiweight': '0.347387', 'name': '海韵轩', 'location': '113.251323,23.094086', 'distance': '202.526', 'tel': [], 'type': '商务住宅;住宅区;住宅小区'}, {'id': 'B0FFG1JO6X', 'direction': '北', 'businessarea': '龙凤', 'address': '新民大街19号104号', 'poiweight': '0.270918', 'name': '新民小区(新民四街)', 'location': '113.252655,23.094309', 'distance': '232.195', 'tel': [], 'type': '商务住宅;住宅区;住宅小区'}, {'id': 'B0FFGBJ8X7', 'direction': '东', 'businessarea': '龙凤', 'address': '革新路与龙凤街交叉口东100米', 'poiweight': '0.264536', 'name': '金苗幼儿园(富力现代园区)', 'location': '113.254579,23.091301', 'distance': '298.119', 'tel': '020-89602898', 'type': '科教文化服务;学校;幼儿园'}, {'id': 'B0FFF6YQCT', 'direction': '东', 'businessarea': '龙凤', 'address': '革新路乐善大街23号', 'poiweight': '0.156691', 'name': '乐富楼', 'location': '113.254130,23.093158', 'distance': '246.156', 'tel': [], 'type': '商务住宅;住宅区;住宅小区'}, {'id': 'B0FFFSWS78', 'direction': '东', 'businessarea': '龙凤', 'address': '革新路乐善大街2号', 'poiweight': '0.252377', 'name': '乐善2号创意园', 'location': '113.255025,23.093413', 'distance': '341.79', 'tel': [], 'type': '商务住宅;产业园区;产业园区'}, {'id': 'B0FFG4HKF9', 'direction': '东北', 'businessarea': '龙凤', 'address': '新民六街5号首层玥滔教育', 'poiweight': '0.186094', 'name': '玥滔教育(梅园西分校)', 'location': '113.254403,23.093886', 'distance': '308.875', 'tel': '020-34035214', 'type': '科教文化服务;培训机构;培训机构'}, {'id': 'B00141K8Y7', 'direction': '东南', 'businessarea': '龙凤', 'address': '革新路129号2层', 'poiweight': '0.162561', 'name': '龙文教育(工业校区)', 'location': '113.254552,23.090618', 'distance': '332.747', 'tel': '020-22158589;020-89601935', 'type': '科教文化服务;培训机构;培训机构'}, {'id': 'B001423N48', 'direction': '北', 'businessarea': '龙凤', 'address': '革新路海逸半岛1楼(近新民五街)', 'poiweight': '0.246732', 'name': '新民公馆', 'location': '113.251787,23.094176', 'distance': '204.248', 'tel': [], 'type': '商务住宅;住宅区;住宅区'}, {'id': 'B00140UFFW', 'direction': '东', 'businessarea': '龙凤', 'address': '工业大道北革新路125号', 'poiweight': '0.350125', 'name': '金沙花园(革新路)', 'location': '113.254523,23.092392', 'distance': '269.08', 'tel': [], 'type': '商务住宅;住宅区;住宅小区'}, {'id': 'B0FFGDTU5K', 'direction': '北', 'businessarea': '龙凤', 'address': '革新路新民六街20号(革新路、梅园西路、大阪仓、太古仓)', 'poiweight': '0.230309', 'name': '我想静静咖啡馆', 'location': '113.252420,23.093700', 'distance': '160.347', 'tel': '020-34493689;13580308038', 'type': '餐饮服务;咖啡厅;咖啡厅'}, {'id': 'B0FFFZZOLI', 'direction': '东南', 'businessarea': '龙凤', 'address': '革新路129号自编101号', 'poiweight': '0.223572', 'name': '大参林(革新路店)', 'location': '113.254246,23.090947', 'distance': '286.352', 'tel': '020-84347146', 'type': '医疗保健服务;医药保健销售店;药房'}, {'id': 'B0FFG4FFCJ', 'direction': '东南', 'businessarea': '龙凤', 'address': '革新路118之5', 'poiweight': '0.169418', 'name': '广州演艺人协会幼儿教育活动委员会', 'location': '113.252810,23.090902', 'distance': '185.576', 'tel': [], 'type': '政府机构及社会团体;社会团体;行业协会'}, {'id': 'B0014246RC', 'direction': '东北', 'businessarea': '龙凤', 'address': '革新路101-103号', 'poiweight': '0.266671', 'name': '银山尚橙', 'location': '113.253533,23.094514', 'distance': '294.064', 'tel': [], 'type': '商务住宅;住宅区;住宅小区'}, {'id': 'B0FFI1DU1E', 'direction': '西北', 'businessarea': '龙凤', 'address': '工业大道革新路新民八街36号', 'poiweight': '0.166626', 'name': '大阪仓', 'location': '113.250949,23.093395', 'distance': '151.788', 'tel': '020-89000899', 'type': '商务住宅;产业园区;产业园区'}]}, 'info': 'OK', 'infocode': '10000'}\n"
     ]
    },
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       "      <th>status</th>\n",
       "      <th>info</th>\n",
       "      <th>infocode</th>\n",
       "      <th>regeocode.roads</th>\n",
       "      <th>regeocode.roadinters</th>\n",
       "      <th>regeocode.formatted_address</th>\n",
       "      <th>regeocode.addressComponent.city</th>\n",
       "      <th>regeocode.addressComponent.province</th>\n",
       "      <th>regeocode.addressComponent.adcode</th>\n",
       "      <th>regeocode.addressComponent.district</th>\n",
       "      <th>...</th>\n",
       "      <th>regeocode.addressComponent.country</th>\n",
       "      <th>regeocode.addressComponent.township</th>\n",
       "      <th>regeocode.addressComponent.businessAreas</th>\n",
       "      <th>regeocode.addressComponent.building.name</th>\n",
       "      <th>regeocode.addressComponent.building.type</th>\n",
       "      <th>regeocode.addressComponent.neighborhood.name</th>\n",
       "      <th>regeocode.addressComponent.neighborhood.type</th>\n",
       "      <th>regeocode.addressComponent.citycode</th>\n",
       "      <th>regeocode.aois</th>\n",
       "      <th>regeocode.pois</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>OK</td>\n",
       "      <td>10000</td>\n",
       "      <td>[{'id': '020F49F01104226282', 'location': '113...</td>\n",
       "      <td>[{'second_name': '龙凤街', 'first_id': '020F49F01...</td>\n",
       "      <td>广东省广州市海珠区龙凤街道鹅潭明珠苑</td>\n",
       "      <td>广州市</td>\n",
       "      <td>广东省</td>\n",
       "      <td>440105</td>\n",
       "      <td>海珠区</td>\n",
       "      <td>...</td>\n",
       "      <td>中国</td>\n",
       "      <td>龙凤街道</td>\n",
       "      <td>[{'location': '113.257067,23.093347', 'name': ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>鹅潭明珠苑</td>\n",
       "      <td>商务住宅;住宅区;住宅小区</td>\n",
       "      <td>020</td>\n",
       "      <td>[{'area': '2876.262348', 'type': '120302', 'id...</td>\n",
       "      <td>[{'id': 'B00140NYEN', 'direction': '西南', 'busi...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  status info infocode                                    regeocode.roads  \\\n",
       "0      1   OK    10000  [{'id': '020F49F01104226282', 'location': '113...   \n",
       "\n",
       "                                regeocode.roadinters  \\\n",
       "0  [{'second_name': '龙凤街', 'first_id': '020F49F01...   \n",
       "\n",
       "  regeocode.formatted_address regeocode.addressComponent.city  \\\n",
       "0          广东省广州市海珠区龙凤街道鹅潭明珠苑                             广州市   \n",
       "\n",
       "  regeocode.addressComponent.province regeocode.addressComponent.adcode  \\\n",
       "0                                 广东省                            440105   \n",
       "\n",
       "  regeocode.addressComponent.district  ... regeocode.addressComponent.country  \\\n",
       "0                                 海珠区  ...                                 中国   \n",
       "\n",
       "  regeocode.addressComponent.township  \\\n",
       "0                                龙凤街道   \n",
       "\n",
       "            regeocode.addressComponent.businessAreas  \\\n",
       "0  [{'location': '113.257067,23.093347', 'name': ...   \n",
       "\n",
       "  regeocode.addressComponent.building.name  \\\n",
       "0                                       []   \n",
       "\n",
       "  regeocode.addressComponent.building.type  \\\n",
       "0                                       []   \n",
       "\n",
       "  regeocode.addressComponent.neighborhood.name  \\\n",
       "0                                        鹅潭明珠苑   \n",
       "\n",
       "  regeocode.addressComponent.neighborhood.type  \\\n",
       "0                                商务住宅;住宅区;住宅小区   \n",
       "\n",
       "  regeocode.addressComponent.citycode  \\\n",
       "0                                 020   \n",
       "\n",
       "                                      regeocode.aois  \\\n",
       "0  [{'area': '2876.262348', 'type': '120302', 'id...   \n",
       "\n",
       "                                      regeocode.pois  \n",
       "0  [{'id': 'B00140NYEN', 'direction': '西南', 'busi...  \n",
       "\n",
       "[1 rows x 26 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def regeocode(key,location='113.679287,23.632575',poitype=None,radius=None,extensions=\"all\",batch=False,roadlevel=None,sig=None,callback=None,homeorcorp=None) ->dict:\n",
    "    '''获得高德API逆地理编码'''\n",
    "    url = 'https://restapi.amap.com/v3/geocode/regeo?parameters'\n",
    "    params = {\n",
    "        'key':key_jw,\n",
    "        'location':location,\n",
    "        'poitype':poitype,\n",
    "        'radius':radius,\n",
    "        'extensions':extensions,\n",
    "        'batch':batch,\n",
    "        'roadlevel':roadlevel,\n",
    "        'sig':sig,\n",
    "        'output':'json',\n",
    "        'callback':callback,\n",
    "        'homeorcorp':homeorcorp\n",
    "    }\n",
    "    r = requests.get(url,params=params)\n",
    "    result = r.json()\n",
    "    return result\n",
    "革新路 = regeocode(key=key_jw,location=\"113.251893,23.092342\",extensions=\"all\")\n",
    "print(革新路)\n",
    "df_革新路 = pd.json_normalize(革新路)\n",
    "df_革新路"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  路径规划"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 介绍  \n",
    "路径规划API是一套以HTTP形式提供的步行、公交、驾车查询及行驶距离计算接口，返回JSON 或 XML格式的查询数据，用于实现路径规划功能的开发。 \n",
    "\n",
    "### 应用场景  \n",
    "* 无需展现地图的场景下，进行线路查询，如以线路结果页形式展现换乘方案；\n",
    "* 根据返回线路数据，自行开发线路导航。\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 步行"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import json\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'status': '1', 'info': 'ok', 'infocode': '10000', 'count': '1', 'route': {'origin': '113.679287,23.632575', 'destination': '113.632403,23.616941', 'paths': [{'distance': '6957', 'duration': '5566', 'steps': [{'instruction': '向东步行101米右转', 'orientation': '东', 'road': [], 'distance': '101', 'duration': '81', 'polyline': '113.679592,23.632491;113.680586,23.632522', 'action': '右转', 'assistant_action': [], 'walk_type': '0'}, {'instruction': '向南步行199米向右前方行走', 'orientation': '南', 'road': [], 'distance': '199', 'duration': '159', 'polyline': '113.680586,23.632522;113.680638,23.63214;113.680668,23.63174;113.680634,23.631541;113.68059,23.631437;113.68059,23.631437;113.680499,23.631241;113.680408,23.631094;113.680208,23.630842', 'action': '向右前方行走', 'assistant_action': [], 'walk_type': '0'}, {'instruction': '向西步行159米左转', 'orientation': '西', 'road': [], 'distance': '159', 'duration': '127', 'polyline': '113.680204,23.630838;113.680035,23.630773;113.680035,23.630773;113.679644,23.630638;113.679644,23.630638;113.679362,23.630521;113.679201,23.630473;113.679201,23.630473;113.679032,23.63043;113.679032,23.63043;113.67888,23.630404;113.67888,23.630404;113.678711,23.630365', 'action': '左转', 'assistant_action': [], 'walk_type': '0'}, {'instruction': '向南步行237米左转', 'orientation': '南', 'road': [], 'distance': '237', 'duration': '190', 'polyline': '113.678711,23.63036;113.678711,23.62934;113.678711,23.62934;113.678711,23.629193;113.678689,23.629084;113.678637,23.629023;113.678424,23.628902;113.678368,23.628841;113.678316,23.628724;113.678294,23.628611;113.678294,23.628611;113.678277,23.628372', 'action': '左转', 'assistant_action': [], 'walk_type': '0'}, {'instruction': '向南步行498米向右前方行走', 'orientation': '南', 'road': [], 'distance': '498', 'duration': '398', 'polyline': '113.678273,23.628368;113.678572,23.628338;113.678685,23.628307;113.678685,23.628307;113.678845,23.628234;113.679045,23.628073;113.679158,23.627964;113.679158,23.627964;113.679214,23.627869;113.679236,23.627778;113.67928,23.627526;113.679288,23.627322;113.679288,23.627322;113.679253,23.626853;113.679184,23.626623;113.679141,23.626497;113.679002,23.626259;113.678941,23.626176;113.678711,23.625977;113.67862,23.625864;113.678529,23.62572;113.678438,23.625191;113.678429,23.625056;113.678451,23.624939;113.678572,23.624657', 'action': '向右前方行走', 'assistant_action': [], 'walk_type': '0'}, {'instruction': '沿源富街向西南步行1568米直行', 'orientation': '西南', 'road': '源富街', 'distance': '1568', 'duration': '1254', 'polyline': '113.678572,23.624653;113.678559,23.62451;113.678416,23.624323;113.678416,23.624323;113.677582,23.623793;113.676532,23.623346;113.676363,23.623255;113.676272,23.623151;113.676111,23.622834;113.676042,23.622739;113.67579,23.622483;113.675499,23.622279;113.675417,23.622174;113.675386,23.622088;113.675378,23.621836;113.675378,23.621836;113.675391,23.62161;113.675434,23.621476;113.675543,23.621359;113.675764,23.621181;113.675846,23.621089;113.675903,23.620994;113.675907,23.620855;113.675877,23.620725;113.675747,23.620547;113.675599,23.620373;113.675243,23.620013;113.675243,23.620013;113.674935,23.619718;113.673924,23.618624;113.673694,23.618433;113.673464,23.618338;113.67322,23.618277;113.671085,23.617791;113.671085,23.617791;113.667904,23.617101', 'action': '直行', 'assistant_action': [], 'walk_type': '0'}, {'instruction': '沿源湖街向西步行783米右转', 'orientation': '西', 'road': '源湖街', 'distance': '783', 'duration': '626', 'polyline': '113.667899,23.617096;113.666345,23.61674;113.666345,23.61674;113.66592,23.616654;113.66592,23.616654;113.663585,23.616133;113.663585,23.616133;113.663516,23.616111;113.663516,23.616111;113.663225,23.616046;113.663225,23.616046;113.662578,23.615916;113.662578,23.615916;113.662036,23.615807;113.661693,23.615716;113.661693,23.615716;113.660404,23.615421', 'action': '右转', 'assistant_action': [], 'walk_type': '0'}, {'instruction': '沿龙泉路向西北步行1722米向左前方行走', 'orientation': '西北', 'road': '龙泉路', 'distance': '1722', 'duration': '1378', 'polyline': '113.660399,23.615417;113.66,23.615668;113.66,23.615668;113.659089,23.616233;113.657166,23.617487;113.656984,23.617626;113.656719,23.617891;113.656719,23.617891;113.655833,23.618845;113.655686,23.618971;113.655543,23.619076;113.655421,23.619141;113.655282,23.619188;113.655087,23.619236;113.654748,23.619297;113.654514,23.619306;113.654514,23.619306;113.654332,23.619306;113.653971,23.619249;113.652895,23.619015;113.652726,23.618989;113.652574,23.618989;113.652431,23.619015;113.651819,23.61924;113.651819,23.61924;113.65082,23.619614;113.649362,23.619948;113.649362,23.619948;113.648819,23.620078;113.648355,23.620221;113.64809,23.620313;113.647869,23.620438;113.647869,23.620438;113.647378,23.620781;113.647188,23.620894;113.646966,23.620994;113.64648,23.621176;113.646328,23.621259;113.645877,23.621567;113.645877,23.621567;113.645725,23.621697', 'action': '向左前方行走', 'assistant_action': [], 'walk_type': '0'}, {'instruction': '沿龙泉路向西步行67米向左前方行走', 'orientation': '西', 'road': '龙泉路', 'distance': '67', 'duration': '54', 'polyline': '113.64572,23.621697;113.645412,23.621788;113.645091,23.621858', 'action': '向左前方行走', 'assistant_action': [], 'walk_type': '0'}, {'instruction': '沿温泉大道向西步行22米右转', 'orientation': '西', 'road': '温泉大道', 'distance': '22', 'duration': '18', 'polyline': '113.645087,23.621858;113.64487,23.621819', 'action': '右转', 'assistant_action': [], 'walk_type': '0'}, {'instruction': '步行13米左转', 'orientation': [], 'road': [], 'distance': '13', 'duration': '10', 'polyline': '113.644865,23.621814;113.644848,23.62194', 'action': '左转', 'assistant_action': [], 'walk_type': '1'}, {'instruction': '沿温泉大道向西南步行1426米右转', 'orientation': '西南', 'road': '温泉大道', 'distance': '1426', 'duration': '1141', 'polyline': '113.644844,23.62194;113.644379,23.621866;113.642856,23.62171;113.642253,23.621606;113.64145,23.621359;113.64053,23.621037;113.64053,23.621037;113.639193,23.620547;113.63885,23.620417;113.638437,23.620217;113.638437,23.620217;113.63605,23.61895;113.635547,23.618672;113.635256,23.618481;113.635256,23.618481;113.634753,23.618103;113.634523,23.617895;113.634262,23.617626;113.634262,23.617626;113.633989,23.617274;113.633637,23.616784;113.633637,23.616784;113.63306,23.615916', 'action': '右转', 'assistant_action': [], 'walk_type': '0'}, {'instruction': '向西北步行96米右转', 'orientation': '西北', 'road': [], 'distance': '96', 'duration': '77', 'polyline': '113.633056,23.615911;113.632747,23.616102;113.632747,23.616102;113.632274,23.616385', 'action': '右转', 'assistant_action': [], 'walk_type': '0'}, {'instruction': '向北步行66米到达目的地', 'orientation': '北', 'road': [], 'distance': '66', 'duration': '53', 'polyline': '113.63227,23.616385;113.632283,23.616541;113.632283,23.616541;113.632313,23.616688;113.632218,23.616897;113.632218,23.616931;113.632222,23.616966', 'action': [], 'assistant_action': '到达目的地', 'walk_type': '0'}]}]}}\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>status</th>\n",
       "      <th>info</th>\n",
       "      <th>infocode</th>\n",
       "      <th>count</th>\n",
       "      <th>route.origin</th>\n",
       "      <th>route.destination</th>\n",
       "      <th>route.paths</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>ok</td>\n",
       "      <td>10000</td>\n",
       "      <td>1</td>\n",
       "      <td>113.679287,23.632575</td>\n",
       "      <td>113.632403,23.616941</td>\n",
       "      <td>[{'distance': '6957', 'duration': '5566', 'ste...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  status info infocode count          route.origin     route.destination  \\\n",
       "0      1   ok    10000     1  113.679287,23.632575  113.632403,23.616941   \n",
       "\n",
       "                                         route.paths  \n",
       "0  [{'distance': '6957', 'duration': '5566', 'ste...  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def walk(key,origin='113.679287,23.632575',destination='113.632403,23.616941',output=json,sig=None,callback=None) ->dict:\n",
    "    '''获取高德API步行路径规划'''\n",
    "    url = 'https://restapi.amap.com/v3/direction/walking?parameters'\n",
    "    params = {\n",
    "        \"key\":key_jw,\n",
    "        \"origin\":origin,\n",
    "        \"destination\":destination,\n",
    "        \"sig\":sig,\n",
    "        \"output\":json,\n",
    "        \"callback\":callback\n",
    "        \n",
    "    }\n",
    "    r = requests.get(url,params=params)\n",
    "    result = r.json()\n",
    "    return result\n",
    "road_walk = walk(key_jw,origin='113.679287,23.632575',destination = '113.632403,23.616941')\n",
    "print(road_walk)\n",
    "df_road_walk = pd.json_normalize(road_walk)\n",
    "df_road_walk"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 公车路径规划"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(起点)中大南方_location: 113.679287,23.632575 (终点)革新路_location: 113.251893,23.092342\n",
      "{'status': '1', 'info': 'OK', 'infocode': '10000', 'count': '5', 'route': {'origin': '113.679287,23.632575', 'destination': '113.251893,23.092342', 'distance': '94687', 'taxi_cost': '310', 'transits': [{'cost': '15.0', 'duration': '10955', 'nightflag': '0', 'walking_distance': '3967', 'distance': '91662', 'missed': '0', 'segments': [{'taxi': [], 'walking': {'origin': '113.679588,23.632856', 'destination': '113.677689,23.648291', 'distance': '2553', 'duration': '2188', 'steps': [{'instruction': '步行92米向左前方行走', 'road': [], 'distance': '92', 'duration': [], 'polyline': '113.679588,23.632856;113.679588,23.633173;113.679588,23.633251;113.679619,23.633650;113.679649,23.633690', 'action': '向左前方行走', 'assistant_action': []}, {'instruction': '沿博学路步行197米左转', 'road': '博学路', 'distance': '197', 'duration': [], 'polyline': 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'113.276885,23.090654;113.275894,23.089883;113.271600,23.086529;113.271434,23.086430;113.271252,23.086341;113.271076,23.086278;113.270899,23.086223;113.270716,23.086184;113.269700,23.086027;113.268655,23.085867;113.266739,23.085583;113.266245,23.085543;113.265816,23.085529;113.265403,23.085558;113.264904,23.085603;113.264400,23.085672;113.263944,23.085751;113.263477,23.085869;113.263091,23.086012;113.262710,23.086224;113.262410,23.086432;113.262190,23.086649;113.261986,23.086876;113.261728,23.087157;113.261506,23.087406;113.261309,23.087643;113.260584,23.088625;113.259867,23.089598;113.256667,23.093807;113.256476,23.094076;113.255994,23.094705', 'bustimetag': '0', 'start_time': '0600', 'end_time': '2255', 'via_num': '2', 'via_stops': [{'name': '宝岗大道', 'id': '440100023048012', 'location': '113.269700,23.086027'}, {'name': '沙园', 'id': '440100023048013', 'location': '113.260584,23.088625'}]}]}, 'entrance': [], 'exit': {'name': 'A口', 'location': '113.256477,23.094580'}, 'railway': {'via_stops': [], 'alters': [], 'spaces': []}}, {'taxi': [], 'walking': {'origin': '113.255989,23.094700', 'destination': '113.251907,23.092361', 'distance': '897', 'duration': '768', 'steps': [{'instruction': '步行130米左转', 'road': [], 'distance': '130', 'duration': [], 'polyline': '113.255989,23.094700;113.256119,23.094543;113.256371,23.094709;113.256477,23.094584;113.256485,23.094591;113.256180,23.095016', 'action': '左转', 'assistant_action': []}, {'instruction': '沿南田路步行12米右转', 'road': '南田路', 'distance': '12', 'duration': [], 'polyline': '113.256180,23.095016;113.256134,23.094917', 'action': '右转', 'assistant_action': []}, {'instruction': '步行16米向左前方行走', 'road': [], 'distance': '16', 'duration': [], 'polyline': '113.256134,23.094913;113.255966,23.094921', 'action': '向左前方行走', 'assistant_action': []}, {'instruction': '沿南田路步行27米左转', 'road': '南田路', 'distance': '27', 'duration': [], 'polyline': '113.255966,23.094921;113.255737,23.094805', 'action': '左转', 'assistant_action': []}, {'instruction': '沿工业大道北步行99米右转', 'road': '工业大道北', 'distance': '99', 'duration': [], 'polyline': '113.255737,23.094801;113.256012,23.094448;113.256294,23.094059', 'action': '右转', 'assistant_action': []}, {'instruction': '沿梅园西路步行312米左转', 'road': '梅园西路', 'distance': '312', 'duration': [], 'polyline': '113.256294,23.094053;113.255661,23.094063;113.255318,23.094063;113.255081,23.094063;113.254982,23.094049;113.254807,23.093998;113.253952,23.093897;113.253334,23.093784;113.253258,23.093771', 'action': '左转', 'assistant_action': []}, {'instruction': '沿革新路步行90米右转', 'road': '革新路', 'distance': '90', 'duration': [], 'polyline': '113.253258,23.093767;113.253334,23.093294;113.253395,23.092964', 'action': '右转', 'assistant_action': []}, {'instruction': '沿新民八街步行124米向左前方行走', 'road': '新民八街', 'distance': '124', 'duration': [], 'polyline': '113.253395,23.092960;113.252281,23.092808;113.252213,23.092760', 'action': '向左前方行走', 'assistant_action': []}, {'instruction': '沿龙凤街步行12米右转', 'road': '龙凤街', 'distance': '12', 'duration': [], 'polyline': '113.252213,23.092756;113.252213,23.092651', 'action': '右转', 'assistant_action': []}, {'instruction': '步行42米左转', 'road': [], 'distance': '42', 'duration': [], 'polyline': '113.252205,23.092648;113.251884,23.092648;113.251778,23.092630', 'action': '左转', 'assistant_action': []}, {'instruction': '步行33米', 'road': [], 'distance': '33', 'duration': [], 'polyline': '113.251778,23.092627;113.251831,23.092464;113.251869,23.092396;113.251907,23.092361', 'action': [], 'assistant_action': []}]}, 'bus': {'buslines': []}, 'entrance': [], 'exit': [], 'railway': {'via_stops': [], 'alters': [], 'spaces': []}}]}]}}\n"
     ]
    },
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>status</th>\n",
       "      <th>info</th>\n",
       "      <th>infocode</th>\n",
       "      <th>count</th>\n",
       "      <th>route.origin</th>\n",
       "      <th>route.destination</th>\n",
       "      <th>route.distance</th>\n",
       "      <th>route.taxi_cost</th>\n",
       "      <th>route.transits</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>OK</td>\n",
       "      <td>10000</td>\n",
       "      <td>5</td>\n",
       "      <td>113.679287,23.632575</td>\n",
       "      <td>113.251893,23.092342</td>\n",
       "      <td>94687</td>\n",
       "      <td>310</td>\n",
       "      <td>[{'cost': '15.0', 'duration': '10955', 'nightf...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  status info infocode count          route.origin     route.destination  \\\n",
       "0      1   OK    10000     5  113.679287,23.632575  113.251893,23.092342   \n",
       "\n",
       "  route.distance route.taxi_cost  \\\n",
       "0          94687             310   \n",
       "\n",
       "                                      route.transits  \n",
       "0  [{'cost': '15.0', 'duration': '10955', 'nightf...  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def integrated(origin,destination,city,cityd=None,extensions='base',strategy=None,nightflag=0,date=None,time=None,sig=None)->dict:\n",
    "    url = 'https://restapi.amap.com/v3/direction/transit/integrated?parameters'\n",
    "    params={\n",
    "        'key':key_jw,\n",
    "        'origin':origin,\n",
    "        'destination':destination,\n",
    "        'city':city,\n",
    "        'cityd':cityd,\n",
    "        'extensions':extensions,\n",
    "        'strategy':strategy,\n",
    "        'nightflag':nightflag,\n",
    "        'date':date,\n",
    "        'output':'json'\n",
    "    }\n",
    "    response = requests.get(url,params=params)\n",
    "    data = response.json()\n",
    "    return data\n",
    "\n",
    "# C-2 准备参数\n",
    "中大南方 = geocode('广东省广州市从化区中山大学南方学院')\n",
    "中大南方_location = 中大南方['geocodes'][0]['location']\n",
    "革新路 = geocode('广东省广州市海珠区革新路鹅潭明珠苑')\n",
    "革新路_location = 革新路['geocodes'][0]['location']\n",
    "print(\"(起点)中大南方_location:\",中大南方_location,\"(终点)革新路_location:\",革新路_location)\n",
    "\n",
    "# C-3 公交路径规划\n",
    "中大南方_革新路 = integrated(中大南方_location,革新路_location,city='广州',extensions='all')\n",
    "print(中大南方_革新路)\n",
    "df_bus = pd.json_normalize(中大南方_革新路)\n",
    "df_bus"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 骑行路径规划"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import json\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'data': {'destination': '116.602392,23.259433', 'origin': '116.613190,23.269440', 'paths': [{'distance': 2170, 'duration': 521, 'steps': [{'action': '右转', 'assistant_action': '', 'distance': 69, 'duration': 17, 'instruction': '沿城东大道向南骑行69米右转', 'orientation': '南', 'polyline': '116.612973,23.269019;116.61306,23.268398', 'road': '城东大道', 'walk_type': 0}, {'action': '左转', 'assistant_action': '', 'distance': 637, 'duration': 153, 'instruction': '沿城北二路向西骑行637米左转', 'orientation': '西', 'polyline': '116.61306,23.268394;116.613016,23.268403;116.613016,23.268403;116.611589,23.268468;116.611589,23.268468;116.61089,23.268511;116.61089,23.268511;116.609913,23.268563;116.606914,23.268806;116.606914,23.268806;116.606827,23.268806', 'road': '城北二路', 'walk_type': 0}, {'action': '右转', 'assistant_action': '', 'distance': 500, 'duration': 120, 'instruction': '沿东山大道向南骑行500米右转', 'orientation': '南', 'polyline': '116.606823,23.268806;116.606914,23.268464;116.606914,23.268464;116.606979,23.268038;116.607001,23.267721;116.606975,23.267231;116.606975,23.267231;116.606884,23.266723;116.606884,23.266723;116.606827,23.266398;116.606827,23.266398;116.606823,23.266337;116.606823,23.266337;116.606832,23.266181;116.606862,23.266024;116.606862,23.266024;116.606884,23.265916;116.606884,23.265916;116.607053,23.265299;116.607053,23.265299;116.607222,23.26464;116.607222,23.26464;116.607305,23.26434', 'road': '东山大道', 'walk_type': 0}, {'action': '右转', 'assistant_action': '', 'distance': 292, 'duration': 70, 'instruction': '沿东锋路向西南骑行292米右转', 'orientation': '西南', 'polyline': '116.607305,23.264336;116.607044,23.264245;116.607044,23.264245;116.606584,23.264041;116.606332,23.263889;116.606098,23.263802;116.605951,23.263776;116.605859,23.26372;116.605859,23.26372;116.605534,23.26329;116.605378,23.263138;116.605286,23.263025;116.605252,23.262912;116.605234,23.262808;116.605247,23.262747', 'road': '东锋路', 'walk_type': 0}, {'action': '左转', 'assistant_action': '', 'distance': 160, 'duration': 38, 'instruction': '向西骑行160米左转', 'orientation': '西', 'polyline': '116.605247,23.262743;116.60487,23.262617;116.604761,23.262595;116.604761,23.262595;116.60464,23.262582;116.604527,23.262643;116.604076,23.262678;116.604076,23.262678;116.603893,23.262691;116.603893,23.262691;116.603715,23.262691', 'road': '', 'walk_type': 0}, {'action': '右转', 'assistant_action': '', 'distance': 422, 'duration': 101, 'instruction': '向南骑行422米右转', 'orientation': '南', 'polyline': '116.603711,23.262691;116.603707,23.262378;116.603707,23.262378;116.603798,23.261454;116.603798,23.261454;116.603793,23.261402;116.603793,23.261402;116.603655,23.26099;116.603655,23.26099;116.603411,23.260408;116.603411,23.260408;116.603212,23.259935;116.603212,23.259935;116.602899,23.258997', 'road': '', 'walk_type': 0}, {'action': '右转', 'assistant_action': '', 'distance': 63, 'duration': 15, 'instruction': '沿亭脚路向西骑行63米右转', 'orientation': '西', 'polyline': '116.602895,23.258993;116.602609,23.259123;116.602609,23.259123;116.602405,23.25918;116.602313,23.259193', 'road': '亭脚路', 'walk_type': 0}, {'action': '', 'assistant_action': '到达目的地', 'distance': 27, 'duration': 6, 'instruction': '向北骑行27米到达目的地', 'orientation': '北', 'polyline': '116.602309,23.259193;116.602348,23.259284;116.602348,23.259284;116.6024,23.259427', 'road': '', 'walk_type': 0}]}]}, 'errcode': 0, 'errdetail': None, 'errmsg': 'OK', 'ext': None}\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>destination</th>\n",
       "      <th>origin</th>\n",
       "      <th>paths</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>116.602392,23.259433</td>\n",
       "      <td>116.613190,23.269440</td>\n",
       "      <td>[{'distance': 2170, 'duration': 521, 'steps': ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            destination                origin  \\\n",
       "0  116.602392,23.259433  116.613190,23.269440   \n",
       "\n",
       "                                               paths  \n",
       "0  [{'distance': 2170, 'duration': 521, 'steps': ...  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def bike(key,origin='116.613190,23.269440',destination='116.602392,23.259433')->dict:\n",
    "    '''获取高德API骑行路径规划'''\n",
    "    url = 'https://restapi.amap.com/v4/direction/bicycling?parameters'\n",
    "    key = '5e511d55ece1791b213c4ef41b428738'\n",
    "    params = {\n",
    "        \"key\":key_jw,\n",
    "        \"origin\":origin,\n",
    "        \"destination\":destination\n",
    "    }\n",
    "    r = requests.get(url,params=params)\n",
    "    result = r.json()\n",
    "    return result\n",
    "road_bike = bike(key_jw,origin='116.613190,23.269440',destination='116.602392,23.259433')\n",
    "print(road_bike)\n",
    "df_road_bike = pd.json_normalize(road_bike['data'])\n",
    "df_road_bike"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 货车路径规划"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import json\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'data': {'destination': '113.679287,23.632575', 'origin': '116.613190,23.269440', 'paths': [{'distance': 421091, 'duration': 101061, 'steps': [{'action': '右转', 'assistant_action': '', 'distance': 69, 'duration': 17, 'instruction': '沿城东大道向南骑行69米右转', 'orientation': '南', 'polyline': '116.612973,23.269019;116.61306,23.268398', 'road': '城东大道', 'walk_type': 0}, {'action': '左转', 'assistant_action': '', 'distance': 637, 'duration': 153, 'instruction': '沿城北二路向西骑行637米左转', 'orientation': '西', 'polyline': '116.61306,23.268394;116.613016,23.268403;116.613016,23.268403;116.611589,23.268468;116.611589,23.268468;116.61089,23.268511;116.61089,23.268511;116.609913,23.268563;116.606914,23.268806;116.606914,23.268806;116.606827,23.268806', 'road': '城北二路', 'walk_type': 0}, {'action': '右转', 'assistant_action': None, 'distance': 232, 'duration': 56, 'instruction': '沿东山大道向南骑行232米右转', 'orientation': '南', 'polyline': 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'orientation': '西', 'polyline': '113.686011,23.577049;113.685716,23.576992;113.685321,23.576962;113.683481,23.577066;113.683481,23.577066;113.682917,23.577101;113.682917,23.577101;113.682743,23.577118;113.682743,23.577118;113.682556,23.577148;113.682556,23.577148;113.680972,23.577318;113.680972,23.577318;113.679796,23.577431;113.678286,23.577613;113.678286,23.577613;113.676172,23.577869;113.674683,23.578021;113.674683,23.578021;113.673733,23.578125;113.673733,23.578125;113.673485,23.578181;113.673281,23.578251;113.671549,23.578867;113.671372,23.578911;113.671085,23.57895;113.670742,23.578954;113.670451,23.578937;113.670451,23.578937;113.668932,23.578819;113.668932,23.578819;113.668038,23.578741;113.667413,23.578707;113.66569,23.578633;113.66569,23.578633;113.664614,23.578585;113.664141,23.578529;113.66128,23.577956;113.66128,23.577956;113.660516,23.577813;113.659874,23.577747;113.659874,23.577747;113.659601,23.577747;113.659319,23.577808;113.659145,23.577912;113.658867,23.578155;113.658867,23.578155;113.658229,23.578802;113.658008,23.578954;113.65786,23.579023;113.657444,23.579167;113.657161,23.579253;113.656862,23.579323', 'road': '灌村中路', 'walk_type': 0}, {'action': '向右前方行驶', 'assistant_action': '', 'distance': 38, 'duration': 9, 'instruction': '沿桃园西路向北骑行38米向右前方行驶', 'orientation': '北', 'polyline': '113.656858,23.579323;113.65674,23.579501;113.656719,23.579583;113.656719,23.57964', 'road': '桃园西路', 'walk_type': 0}, {'action': '直行', 'assistant_action': '', 'distance': 2730, 'duration': 655, 'instruction': '沿桃园西路向东北骑行2730米直行', 'orientation': '东北', 'polyline': '113.656719,23.57964;113.65724,23.580217;113.657292,23.580304;113.6574,23.580612;113.6574,23.580612;113.657431,23.580773;113.657483,23.582105;113.657483,23.582231;113.657474,23.582339;113.657435,23.582439;113.657383,23.582535;113.657161,23.582847;113.65707,23.583025;113.656984,23.583255;113.656892,23.583568;113.656879,23.583676;113.656879,23.58378;113.656905,23.583919;113.657057,23.584449;113.657109,23.584566;113.657322,23.584891;113.657322,23.584891;113.657478,23.585156;113.657543,23.585365;113.657543,23.585365;113.657691,23.586688;113.657743,23.586931;113.657813,23.587135;113.65875,23.589401;113.65875,23.589401;113.658819,23.589588;113.658819,23.589588;113.65911,23.590226;113.659627,23.591046;113.659627,23.591046;113.659826,23.591389;113.659926,23.591589;113.66046,23.592799;113.66046,23.592799;113.660543,23.593021;113.660725,23.593594;113.660825,23.593885;113.660903,23.594028;113.660903,23.594028;113.661146,23.59441;113.661306,23.594601;113.661558,23.594844;113.661558,23.594844;113.662235,23.59543;113.662235,23.59543;113.663472,23.596506;113.663472,23.596506;113.663741,23.596775;113.663741,23.596775;113.664067,23.597135;113.664397,23.597617;113.664397,23.597617;113.664792,23.598234;113.664792,23.598234;113.665252,23.59878;113.665252,23.59878;113.665282,23.598819;113.665282,23.598819;113.665516,23.599089;113.665516,23.599089;113.665777,23.599358;113.665777,23.599358;113.665951,23.599501;113.665951,23.599501;113.66622,23.59964;113.667326,23.600135;113.667326,23.600135;113.667943,23.600412', 'road': '桃园西路', 'walk_type': 0}, {'action': '向左前方行驶', 'assistant_action': '', 'distance': 247, 'duration': 59, 'instruction': '沿桃园东路向东北骑行247米向左前方行驶', 'orientation': '东北', 'polyline': '113.667943,23.600412;113.668437,23.600642;113.668659,23.600764;113.668659,23.600764;113.668785,23.600855;113.669484,23.601554;113.669484,23.601554;113.669635,23.601766;113.669635,23.601766;113.669714,23.601897', 'road': '桃园东路', 'walk_type': 0}, {'action': '直行', 'assistant_action': '', 'distance': 674, 'duration': 162, 'instruction': '沿桃园东路向东北骑行674米直行', 'orientation': '东北', 'polyline': '113.669714,23.601897;113.669783,23.602409;113.669813,23.602513;113.669905,23.602678;113.670017,23.602791;113.670017,23.602791;113.670195,23.602899;113.670195,23.602899;113.670521,23.603069;113.670803,23.60326;113.670803,23.60326;113.671063,23.603468;113.671406,23.60385;113.671536,23.603954;113.671675,23.604002;113.673459,23.604488;113.673459,23.604488;113.673889,23.604614;113.674232,23.604679;113.675009,23.604735', 'road': '桃园东路', 'walk_type': 0}, {'action': '直行', 'assistant_action': '', 'distance': 118, 'duration': 28, 'instruction': '沿934县道向东骑行118米直行', 'orientation': '东', 'polyline': '113.675009,23.604735;113.675503,23.604774;113.675503,23.604774;113.675794,23.6048;113.676159,23.604883', 'road': '934县道', 'walk_type': 0}, {'action': '左转', 'assistant_action': '', 'distance': 165, 'duration': 40, 'instruction': '沿乌土街向东北骑行165米左转', 'orientation': '东北', 'polyline': '113.676159,23.604883;113.676398,23.604996;113.676984,23.605369;113.677535,23.605668', 'road': '乌土街', 'walk_type': 0}, {'action': '向左前方行驶', 'assistant_action': '', 'distance': 1381, 'duration': 331, 'instruction': '沿乌土街向北骑行1381米向左前方行驶', 'orientation': '北', 'polyline': '113.677535,23.605668;113.677018,23.60625;113.676918,23.606411;113.676866,23.606536;113.676823,23.606732;113.676615,23.60773;113.676484,23.608186;113.676415,23.608481;113.676415,23.608741;113.676489,23.609232;113.676502,23.609618;113.676493,23.609844;113.676411,23.61026;113.676411,23.61026;113.676411,23.610434;113.676597,23.611484;113.67684,23.612782;113.676923,23.613355;113.677044,23.614319;113.677135,23.614822;113.677335,23.615664;113.677387,23.615812;113.677604,23.616285;113.677739,23.616554;113.677969,23.616918;113.678047,23.61707;113.67809,23.617201;113.678181,23.617652', 'road': '乌土街', 'walk_type': 0}, {'action': '右转', 'assistant_action': '', 'distance': 412, 'duration': 99, 'instruction': '向西北骑行412米右转', 'orientation': '西北', 'polyline': '113.678181,23.617652;113.678073,23.617826;113.678073,23.617826;113.677266,23.61878;113.676905,23.619188;113.67602,23.619792;113.675777,23.619944;113.675647,23.619987;113.675495,23.620013;113.675243,23.620013', 'road': '', 'walk_type': 0}, {'action': '向左前方行驶', 'assistant_action': '', 'distance': 680, 'duration': 163, 'instruction': '向东北骑行680米向左前方行驶', 'orientation': '东北', 'polyline': '113.675239,23.620009;113.675595,23.620369;113.675742,23.620543;113.675872,23.62072;113.675907,23.620851;113.675907,23.62099;113.675851,23.621085;113.675768,23.621176;113.675547,23.621354;113.675438,23.621471;113.675395,23.621606;113.675378,23.621832;113.675378,23.621832;113.675382,23.622083;113.675412,23.62217;113.675495,23.622274;113.675786,23.622478;113.676037,23.622734;113.676107,23.62283;113.676267,23.623147;113.676359,23.623251;113.676528,23.623342;113.677578,23.623789;113.678411,23.624319', 'road': '', 'walk_type': 0}, {'action': '向左前方行驶', 'assistant_action': '', 'distance': 42, 'duration': 10, 'instruction': '向东北骑行42米向左前方行驶', 'orientation': '东北', 'polyline': '113.678411,23.624319;113.678555,23.624505;113.678572,23.624653', 'road': '', 'walk_type': 0}, {'action': '向左前方行驶', 'assistant_action': '', 'distance': 321, 'duration': 77, 'instruction': '向北骑行321米向左前方行驶', 'orientation': '北', 'polyline': '113.678572,23.624653;113.678455,23.624935;113.678429,23.625052;113.678433,23.625187;113.678524,23.625716;113.678615,23.625859;113.678711,23.625972;113.678937,23.626172;113.678997,23.626254;113.679136,23.626493;113.67918,23.626619;113.679249,23.626849;113.679288,23.627318', 'road': '', 'walk_type': 0}, {'action': '右转', 'assistant_action': '', 'distance': 177, 'duration': 42, 'instruction': '向西北骑行177米右转', 'orientation': '西北', 'polyline': '113.679288,23.627318;113.679284,23.627522;113.67924,23.627773;113.679219,23.627865;113.679162,23.62796;113.679162,23.62796;113.679049,23.628069;113.67885,23.628229;113.678689,23.628303;113.678689,23.628303;113.678576,23.628333;113.678277,23.628368', 'road': '', 'walk_type': 0}, {'action': '右转', 'assistant_action': '', 'distance': 237, 'duration': 57, 'instruction': '向北骑行237米右转', 'orientation': '北', 'polyline': '113.678273,23.628368;113.67829,23.628607;113.67829,23.628607;113.678312,23.62872;113.678364,23.628837;113.67842,23.628898;113.678633,23.629019;113.678685,23.62908;113.678711,23.629188;113.678711,23.629336;113.678711,23.629336;113.678711,23.63036', 'road': '', 'walk_type': 0}, {'action': '向左前方行驶', 'assistant_action': '', 'distance': 159, 'duration': 38, 'instruction': '向东骑行159米向左前方行驶', 'orientation': '东', 'polyline': '113.678711,23.63036;113.678876,23.630399;113.678876,23.630399;113.679028,23.630425;113.679028,23.630425;113.679197,23.630469;113.679197,23.630469;113.679358,23.630516;113.67964,23.630634;113.67964,23.630634;113.68003,23.630768;113.68003,23.630768;113.680204,23.630838', 'road': '', 'walk_type': 0}, {'action': '左转', 'assistant_action': '', 'distance': 199, 'duration': 48, 'instruction': '向北骑行199米左转', 'orientation': '北', 'polyline': '113.680204,23.630838;113.680404,23.631089;113.680495,23.631237;113.680586,23.631432;113.680586,23.631432;113.680629,23.631536;113.680668,23.631736;113.680642,23.632135;113.68059,23.632522', 'road': '', 'walk_type': 0}, {'action': '', 'assistant_action': '到达目的地', 'distance': 101, 'duration': 24, 'instruction': '向西骑行101米到达目的地', 'orientation': '西', 'polyline': '113.680586,23.632522;113.679596,23.632496', 'road': '', 'walk_type': 0}]}]}, 'errcode': 0, 'errdetail': None, 'errmsg': 'OK', 'ext': None}\n"
     ]
    },
    {
     "data": {
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>errcode</th>\n",
       "      <th>errdetail</th>\n",
       "      <th>errmsg</th>\n",
       "      <th>ext</th>\n",
       "      <th>data.destination</th>\n",
       "      <th>data.origin</th>\n",
       "      <th>data.paths</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>OK</td>\n",
       "      <td>None</td>\n",
       "      <td>113.679287,23.632575</td>\n",
       "      <td>116.613190,23.269440</td>\n",
       "      <td>[{'distance': 421091, 'duration': 101061, 'ste...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   errcode errdetail errmsg   ext      data.destination           data.origin  \\\n",
       "0        0      None     OK  None  113.679287,23.632575  116.613190,23.269440   \n",
       "\n",
       "                                          data.paths  \n",
       "0  [{'distance': 421091, 'duration': 101061, 'ste...  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def truck(key,origin = '116.613190,23.269440',destination = '113.679287,23.632575',size=2,originid=None,originidtype=None,destinationid=None,destinationtype=None,diu=None,strategy=None,waypoints=None,height=None,width=None,load=None,weight=None,axis=None,province=None,number=None,cartype=None,avoidpolygons=None,showpolyline=None,nosteps=None)->dict:  \n",
    "    '''获取高德API货车路径规划'''   \n",
    "    url = 'https://restapi.amap.com/v4/direction/bicycling?parameters'   \n",
    "    params = {\n",
    "        \"key\":key_jw,\n",
    "        \"origin\":origin,\n",
    "        \"destination\":destination,\n",
    "        \"size\":size,\n",
    "        \"originid\":originid,\n",
    "        \"originidtype\":originidtype,\n",
    "        \"destinationid\":destinationid,\n",
    "        \"diu\":diu,\n",
    "        \"strategy\":strategy,\n",
    "        \"waypoints\":waypoints,\n",
    "        \"height\":height,\n",
    "        \"width\":width,\n",
    "        \"load\":load,\n",
    "        \"weight\":weight,\n",
    "        \"axis\":axis,\n",
    "        \"province\":province,\n",
    "        \"number\":number,\n",
    "        \"cartype\":cartype,\n",
    "        \"avoidpolygons\":avoidpolygons,\n",
    "        \"showpolyline\":showpolyline,\n",
    "        \"nosteps\":nosteps,\n",
    "        \"output\":json    }   \n",
    "    r = requests.get(url,params=params)   \n",
    "    result = r.json()  \n",
    "    return result\n",
    "road_truck = truck(key_jw,origin= '116.613190,23.269440',destination = '113.679287,23.632575',size=2)\n",
    "print(road_truck)\n",
    "df_road_truck = pd.json_normalize(road_truck)\n",
    "df_road_truck"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 距离测量"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import json\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "def distance(key='key',origin = '113.251893,23.092342',destination = '113.679287,23.632575',type=None,sig=None,output='json',callback=None)->dict:\n",
    "    '''获取高德API测量距离'''\n",
    "    url = 'https://restapi.amap.com/v3/distance?parameters'\n",
    "    key = '5e511d55ece1791b213c4ef41b428738'\n",
    "    params = {\n",
    "        \"key\":key,\n",
    "        \"origin\":origin,\n",
    "        \"destination\":destination,\n",
    "        \"type\":type,\n",
    "        \"sig\":sig,\n",
    "        \"callback\":callback,\n",
    "        \"output\":json\n",
    "    }\n",
    "\n",
    "    r = requests.get(url,params=params)\n",
    "    result = r.json()\n",
    "    return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'status': '0', 'info': 'INVALID_PARAMS', 'infocode': '20000'}\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>status</th>\n",
       "      <th>info</th>\n",
       "      <th>infocode</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>INVALID_PARAMS</td>\n",
       "      <td>20000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  status            info infocode\n",
       "0      0  INVALID_PARAMS    20000"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "car_distance = distance(key='key_jw',origin='113.251893,23.092342',destination='113.679287,23.632575')\n",
    "print(car_distance)\n",
    "df_car_distance = pd.json_normalize(car_distance)\n",
    "df_car_distance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 行政区域查询"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 介绍  \n",
    "行政区域查询是一类简单的HTTP接口，根据用户输入的搜索条件可以帮助用户快速的查找特定的行政区域信息。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import json\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "def district(key,keywords='广州市',subdistrict=None,page=None,offset=None,extensions='base',filter=None,callback=None,output=json)->dict:\n",
    "    '''获取行政区域'''\n",
    "    url = 'https://restapi.amap.com/v3/config/district?parameters'\n",
    "    params = {\n",
    "        \"key\":key_jw,\n",
    "        \"keywords\":keywords,\n",
    "        \"subdistrict\":subdistrict,\n",
    "        \"page\":page,\n",
    "        \"offset\":offset,\n",
    "        \"extensions\":extensions,\n",
    "        \"filter\":filter,\n",
    "        \"callback\":callback,\n",
    "        \"output\":json\n",
    "    }\n",
    "\n",
    "    r = requests.get(url,params=params)\n",
    "    result = r.json()\n",
    "    return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'status': '1', 'info': 'OK', 'infocode': '10000', 'count': '1', 'suggestion': {'keywords': [], 'cities': []}, 'districts': [{'citycode': '020', 'adcode': '440100', 'name': '广州市', 'center': '113.280637,23.125178', 'level': 'city', 'districts': [{'citycode': '020', 'adcode': '440117', 'name': '从化区', 'center': '113.587386,23.545283', 'level': 'district', 'districts': []}, {'citycode': '020', 'adcode': '440115', 'name': '南沙区', 'center': '113.53738,22.794531', 'level': 'district', 'districts': []}, {'citycode': '020', 'adcode': '440114', 'name': '花都区', 'center': '113.211184,23.39205', 'level': 'district', 'districts': []}, {'citycode': '020', 'adcode': '440111', 'name': '白云区', 'center': '113.262831,23.162281', 'level': 'district', 'districts': []}, {'citycode': '020', 'adcode': '440113', 'name': '番禺区', 'center': '113.364619,22.938582', 'level': 'district', 'districts': []}, {'citycode': '020', 'adcode': '440103', 'name': '荔湾区', 'center': '113.243038,23.124943', 'level': 'district', 'districts': []}, {'citycode': '020', 'adcode': '440105', 'name': '海珠区', 'center': '113.262008,23.103131', 'level': 'district', 'districts': []}, {'citycode': '020', 'adcode': '440118', 'name': '增城区', 'center': '113.829579,23.290497', 'level': 'district', 'districts': []}, {'citycode': '020', 'adcode': '440104', 'name': '越秀区', 'center': '113.280714,23.125624', 'level': 'district', 'districts': []}, {'citycode': '020', 'adcode': '440112', 'name': '黄埔区', 'center': '113.450761,23.103239', 'level': 'district', 'districts': []}, {'citycode': '020', 'adcode': '440106', 'name': '天河区', 'center': '113.335367,23.13559', 'level': 'district', 'districts': []}]}]}\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>citycode</th>\n",
       "      <th>adcode</th>\n",
       "      <th>name</th>\n",
       "      <th>center</th>\n",
       "      <th>level</th>\n",
       "      <th>districts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>020</td>\n",
       "      <td>440100</td>\n",
       "      <td>广州市</td>\n",
       "      <td>113.280637,23.125178</td>\n",
       "      <td>city</td>\n",
       "      <td>[{'citycode': '020', 'adcode': '440117', 'name...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  citycode  adcode name                center level  \\\n",
       "0      020  440100  广州市  113.280637,23.125178  city   \n",
       "\n",
       "                                           districts  \n",
       "0  [{'citycode': '020', 'adcode': '440117', 'name...  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "行政区域 = district(key_jw,keywords='广州市',extensions='base')\n",
    "print(行政区域)\n",
    "df_行政区域 = pd.json_normalize(行政区域[\"districts\"])\n",
    "df_行政区域"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 搜索POI"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 介绍  \n",
    "搜索服务API是一类简单的HTTP接口，提供多种查询POI信息的能力，其中包括关键字搜索、周边搜索、多边形搜索、ID查询四种筛选机制。\n",
    "\n",
    "### 适用场景\n",
    "* 关键字搜索：通过用POI的关键字进行条件搜索，例如：肯德基、朝阳公园等；同时支持设置POI类型搜索，例如：银行\n",
    "* 周边搜索：在用户传入经纬度坐标点附近，在设定的范围内，按照关键字或POI类型搜索；\n",
    "* 多边形搜索：在多边形区域内进行搜索\n",
    "* ID查询：通过POI ID，查询某个POI详情，建议可同输入提示API配合使用"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import json\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "def POI(keywords,types,city=None,citylimit=None,children=None,page=None,extensions='base',sig=None)->dict:\n",
    "    \"\"\"获取高德API的POI\"\"\"\n",
    "    url = \"https://restapi.amap.com/v3/place/text?parameters\"\n",
    "    params = {\n",
    "    \"key\":key_jw,\n",
    "    \"keywords\":keywords,\n",
    "    \"types\":types,\n",
    "    \"city\":city,\n",
    "    \"citylimit\":citylimit,\n",
    "    \"children\":children,\n",
    "    \"page\":page,\n",
    "    \"extensions\":extensions,\n",
    "    \"output\":json\n",
    "}\n",
    "    # positional argument follows keyword argument（位置参数放在关键字参数之后）\n",
    "    # pa 一定要放在前面，keyword argument放在末尾！！！可以\n",
    "    r = requests.get(url,params=params)\n",
    "    results = r.json()\n",
    "    return results\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'status': '1', 'info': 'OK', 'infocode': '10000', 'count': '260', 'suggestion': {'keywords': [], 'cities': []}, 'pois': [{'id': 'B00140NXS3', 'parent': [], 'childtype': [], 'name': '麦当劳(龙洞店)', 'tag': '板烧鸡腿堡麦乐鸡餐,麦辣鸡腿堡鸡翅餐,甜筒,油条培根蛋麦煎饼配脆薯饼,雪糕,麦香鸡汉堡,板烧鸡腿堡套餐,香芋派,麦辣鸡腿堡套餐,三翅,麦辣鸡腿汉堡经典中薯条套餐,玉米燕麦豆浆,香芒芒,巨无霸鸡翅餐,幸胡堡中薯餐,星厨鲜脆纯牛堡,拿铁,麦香猪柳蛋,草莓派,蜜汁鸡腿满碗饭中薯餐,红豆双皮奶派,热朱古力,鲜煮咖啡,菠萝派', 'type': '餐饮服务;快餐厅;麦当劳', 'typecode': '050302', 'biz_type': 'diner', 'address': '广汕一路15号龙洞牌坊', 'location': '113.368278,23.193663', 'tel': '020-87030869;4008597597', 'postcode': [], 'website': [], 'email': [], 'pcode': '440000', 'pname': '广东省', 'citycode': '020', 'cityname': '广州市', 'adcode': '440106', 'adname': '天河区', 'importance': [], 'shopid': [], 'shopinfo': '0', 'poiweight': [], 'gridcode': '3413623901', 'distance': [], 'navi_poiid': 'F49F010043_73884', 'entr_location': '113.368135,23.193522', 'business_area': '龙洞', 'exit_location': [], 'match': '0', 'recommend': '0', 'timestamp': '2020-11-16 03:56:52', 'alias': [], 'indoor_map': '0', 'indoor_data': {'cpid': [], 'floor': [], 'truefloor': [], 'cmsid': []}, 'groupbuy_num': '0', 'discount_num': '0', 'biz_ext': {'rating': '4.5', 'cost': '30.00', 'meal_ordering': '0'}, 'event': [], 'children': [], 'photos': [{'title': [], 'url': 'http://store.is.autonavi.com/showpic/654b10dfe0866b38774a6897272bbb10'}, {'title': [], 'url': 'http://store.is.autonavi.com/showpic/36ca27a558411cc36130346ab0e1eee9'}, {'title': [], 'url': 'http://store.is.autonavi.com/showpic/0e9a94b69dc247a60b45e8820ad88c8f'}]}, {'id': 'B00140TXAV', 'parent': [], 'childtype': [], 'name': '麦当劳(黄石路)', 'tag': '买珍珠奶茶送麦辣鸡翅,香芋派,巨无霸套餐,烤芝士酱薯条,麦辣鸡腿堡套餐,板烧鸡腿堡套餐,麦当劳早餐,热朱古力,麦辣鸡腿汉堡经典中薯条套餐,菠萝派,新地雪糕,双层芝士汉堡,香芋麦旋风,鸡肉卷套餐,菠萝牛汉堡,随心配麦香鸡雪碧,川辣双鸡堡套餐,麦香鱼套餐,麦趣鸡盒,开心乐园餐配小薯条,板烧鸡腿堡经典中薯条套餐,奥利奥雪糕,脆皮枫糖风味鸡翅,双层安格斯厚牛芝士堡,纷享小食盒', 'type': '餐饮服务;快餐厅;麦当劳', 'typecode': '050302', 'biz_type': 'diner', 'address': '黄石西路457-459号1-2层', 'location': '113.256340,23.205263', 'tel': '020-26273216;4008597597', 'postcode': [], 'website': [], 'email': [], 'pcode': '440000', 'pname': '广东省', 'citycode': '020', 'cityname': '广州市', 'adcode': '440111', 'adname': '白云区', 'importance': [], 'shopid': [], 'shopinfo': '0', 'poiweight': [], 'gridcode': '3413624011', 'distance': [], 'navi_poiid': 'F49F010043_72306', 'entr_location': '113.256102,23.20511', 'business_area': '新市', 'exit_location': [], 'match': '0', 'recommend': '0', 'timestamp': '2020-11-16 05:43:03', 'alias': [], 'indoor_map': '0', 'indoor_data': {'cpid': [], 'floor': [], 'truefloor': [], 'cmsid': []}, 'groupbuy_num': '0', 'discount_num': '0', 'biz_ext': {'rating': '4.5', 'cost': '25.00', 'meal_ordering': '0'}, 'event': [], 'children': [], 'photos': [{'title': [], 'url': 'http://store.is.autonavi.com/showpic/d4b12f8b3917891847ee618bb2398ec1'}, {'title': [], 'url': 'http://store.is.autonavi.com/showpic/36ca27a558411cc36130346ab0e1eee9'}, {'title': '开心乐园餐配小薯条', 'url': 'http://store.is.autonavi.com/showpic/808b3dcb88907b1bd02437d3c3f6a9da'}]}, {'id': 'B00141IMI9', 'parent': [], 'childtype': [], 'name': '麦当劳(儿童公园店)', 'tag': '芝士烧烤酱风味薯条,麦辣鸡翅麦乐鸡餐,麦辣鸡腿堡套餐,安格斯厚牛芝士堡,双层深海狭鳕鱼堡套餐,大薯条,菠萝派,原味板烧鸡腿堡,板烧鸡腿堡鸡翅餐,麦当劳金黄脆薯格装,金黄脆薯格下午茶鸡翅组合,培根双层牛堡,椰子水饮,椒盐金脆鸡翅,巨无霸麦乐鸡餐,那么大鸡排,俄式红肠双鸡堡双重满足餐,吉士蛋麦满分小咖啡,麦香鱼汉堡,麦旋风奥利奥原味,双层芝士汉堡,大脆鸡排麦满分,安格斯厚牛培根堡,川辣双鸡堡套餐', 'type': '餐饮服务;快餐厅;麦当劳', 'typecode': '050302', 'biz_type': 'diner', 'address': '人民南路88号少年坊B1层', 'location': '113.253868,23.111638', 'tel': '020-81008521;4008597597', 'postcode': [], 'website': 'www.mcdonalds.com.cn', 'email': [], 'pcode': '440000', 'pname': '广东省', 'citycode': '020', 'cityname': '广州市', 'adcode': '440104', 'adname': '越秀区', 'importance': [], 'shopid': [], 'shopinfo': '0', 'poiweight': [], 'gridcode': '3413523010', 'distance': [], 'navi_poiid': 'F49F011042_193', 'entr_location': '113.253718,23.112099', 'business_area': [], 'exit_location': [], 'match': '0', 'recommend': '0', 'timestamp': '2020-11-16 04:57:40', 'alias': [], 'indoor_map': '0', 'indoor_data': {'cpid': [], 'floor': [], 'truefloor': [], 'cmsid': []}, 'groupbuy_num': '0', 'discount_num': '0', 'biz_ext': {'rating': '4.5', 'cost': '29.00', 'meal_ordering': '0'}, 'event': [], 'children': [], 'photos': [{'title': [], 'url': 'http://store.is.autonavi.com/showpic/d4b12f8b3917891847ee618bb2398ec1'}, {'title': [], 'url': 'http://store.is.autonavi.com/showpic/36ca27a558411cc36130346ab0e1eee9'}, {'title': '菜品', 'url': 'http://store.is.autonavi.com/showpic/8405d12ec0c78f351734f912f0ee44fa'}]}, {'id': 'B00140BPN7', 'parent': 'B00140C5MN', 'childtype': '201', 'name': '麦当劳(王府井店)', 'tag': '板烧鸡腿堡麦乐鸡餐,吉士炒双蛋堡,菠萝厚牛堡,抹茶圆筒雪糕,扭扭薯条,菠萝派,麦香鱼汉堡大套餐,火腿扒蛋麦煎饼配脆薯饼,板烧鸡腿堡套餐,麦辣鸡腿汉堡经典中薯条套餐,双层深海狭鳕鱼堡套餐,双层吉士汉堡,巨无霸经典中薯条套餐,麦辣鸡腿堡鸡翅餐,开心乐园餐配小薯条,幸胡堡,大薯条,充电堡,俄式红肠双鸡堡鸡翅餐,青柠妖格饮,团圆堡大薯餐,培根蔬萃双层牛堡,麦趣鸡盒,冰淇淋甜筒,可乐鸡翅', 'type': '餐饮服务;快餐厅;麦当劳', 'typecode': '050302', 'biz_type': 'diner', 'address': '三育路44号首层', 'location': '113.298527,23.129433', 'tel': '020-87603370;4008597597;4008517517', 'postcode': [], 'website': 'www.mcdonalds.com.cn', 'email': [], 'pcode': '440000', 'pname': '广东省', 'citycode': '020', 'cityname': '广州市', 'adcode': '440104', 'adname': '越秀区', 'importance': [], 'shopid': [], 'shopinfo': '0', 'poiweight': [], 'gridcode': '3413525312', 'distance': [], 'navi_poiid': 'F49F011043_55086', 'entr_location': '113.298313,23.129293', 'business_area': '东山口', 'exit_location': [], 'match': '0', 'recommend': '0', 'timestamp': '2020-11-16 03:58:46', 'alias': [], 'indoor_map': '1', 'indoor_data': {'cpid': 'B00140C5MN', 'floor': '1', 'truefloor': 'F1', 'cmsid': 'TY0001610210100004_B00140BPN7'}, 'groupbuy_num': '0', 'discount_num': '0', 'biz_ext': {'rating': '4.5', 'cost': '26.00', 'meal_ordering': '0'}, 'event': [], 'children': [], 'photos': [{'title': [], 'url': 'http://store.is.autonavi.com/showpic/0b7b2d2ada04dbeb45b89fa775a66ebf'}, {'title': '产品图', 'url': 'http://store.is.autonavi.com/showpic/0f191eeaa8a5cdda6edbb4cdf10c9a2e'}, {'title': '菜品', 'url': 'http://store.is.autonavi.com/showpic/8405d12ec0c78f351734f912f0ee44fa'}]}, {'id': 'B00140WDOP', 'parent': 'B00141J4HP', 'childtype': 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'0'}, 'event': [], 'children': [], 'photos': [{'title': [], 'url': 'http://store.is.autonavi.com/showpic/d4b12f8b3917891847ee618bb2398ec1'}, {'title': [], 'url': 'http://store.is.autonavi.com/showpic/9ea1a3ca9743c7619dd14b92a05d8267'}, {'title': [], 'url': 'http://store.is.autonavi.com/showpic/36ca27a558411cc36130346ab0e1eee9'}]}, {'id': 'B00140CJXD', 'parent': 'B00141SX7W', 'childtype': '202', 'name': '麦当劳(新塘国际店)', 'tag': '麦辣鸡翅,麦脆鸡盒,麦辣鸡腿堡套餐,板烧鸡腿堡套餐,麦趣鸡盒,辣翅套餐,麦辣鸡腿汉堡经典中薯条套餐,麦香鱼汉堡,板烧鸡腿堡经典中薯条套餐,小食盒,芝士蛋麦满分,樱花味雪糕,马卡龙,双层深海狭鳕鱼堡套餐,香骨鸡腿,脆骨鸡,扭扭薯条,双层吉士汉堡,无辣不欢双人餐,麦香粥,蓝莓芝士蛋糕,油条培根麦煎饼,奥利奥原味麦旋风,吉士蛋麦满分小咖啡,铁板鸡腿堡', 'type': '餐饮服务;快餐厅;麦当劳', 'typecode': '050302', 'biz_type': 'diner', 'address': '新塘镇荔新公路汇创国贸大厦1层', 'location': '113.614253,23.124261', 'tel': '020-82706103', 'postcode': [], 'website': [], 'email': [], 'pcode': '440000', 'pname': '广东省', 'citycode': '020', 'cityname': '广州市', 'adcode': '440118', 'adname': '增城区', 'importance': [], 'shopid': [], 'shopinfo': '0', 'poiweight': [], 'gridcode': '3413544920', 'distance': [], 'navi_poiid': 'F49F011045_1382', 'entr_location': '113.614334,23.124425', 'business_area': '新塘', 'exit_location': [], 'match': '0', 'recommend': '0', 'timestamp': '2020-11-16 09:18:14', 'alias': [], 'indoor_map': '0', 'indoor_data': {'cpid': [], 'floor': [], 'truefloor': [], 'cmsid': []}, 'groupbuy_num': '0', 'discount_num': '0', 'biz_ext': {'rating': '4.6', 'cost': '28.00', 'meal_ordering': '0'}, 'event': [], 'children': [], 'photos': [{'title': [], 'url': 'http://store.is.autonavi.com/showpic/d4b12f8b3917891847ee618bb2398ec1'}, {'title': '菜品', 'url': 'http://store.is.autonavi.com/showpic/8405d12ec0c78f351734f912f0ee44fa'}, {'title': [], 'url': 'http://store.is.autonavi.com/showpic/088bb124da7c1a3ffba5bc0f8ac39eb5'}]}]}\n"
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       "      <td>B00140NXS3</td>\n",
       "      <td>[]</td>\n",
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       "      <td>麦当劳(龙洞店)</td>\n",
       "      <td>板烧鸡腿堡麦乐鸡餐,麦辣鸡腿堡鸡翅餐,甜筒,油条培根蛋麦煎饼配脆薯饼,雪糕,麦香鸡汉堡,板烧...</td>\n",
       "      <td>餐饮服务;快餐厅;麦当劳</td>\n",
       "      <td>050302</td>\n",
       "      <td>diner</td>\n",
       "      <td>广汕一路15号龙洞牌坊</td>\n",
       "      <td>113.368278,23.193663</td>\n",
       "      <td>...</td>\n",
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       "      <td>4.5</td>\n",
       "      <td>30.00</td>\n",
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       "      <td>B00140TXAV</td>\n",
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       "      <td>麦当劳(黄石路)</td>\n",
       "      <td>买珍珠奶茶送麦辣鸡翅,香芋派,巨无霸套餐,烤芝士酱薯条,麦辣鸡腿堡套餐,板烧鸡腿堡套餐,麦当...</td>\n",
       "      <td>餐饮服务;快餐厅;麦当劳</td>\n",
       "      <td>050302</td>\n",
       "      <td>diner</td>\n",
       "      <td>黄石西路457-459号1-2层</td>\n",
       "      <td>113.256340,23.205263</td>\n",
       "      <td>...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'title': [], 'url': 'http://store.is.autonav...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>4.5</td>\n",
       "      <td>25.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>B00141IMI9</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>麦当劳(儿童公园店)</td>\n",
       "      <td>芝士烧烤酱风味薯条,麦辣鸡翅麦乐鸡餐,麦辣鸡腿堡套餐,安格斯厚牛芝士堡,双层深海狭鳕鱼堡套餐...</td>\n",
       "      <td>餐饮服务;快餐厅;麦当劳</td>\n",
       "      <td>050302</td>\n",
       "      <td>diner</td>\n",
       "      <td>人民南路88号少年坊B1层</td>\n",
       "      <td>113.253868,23.111638</td>\n",
       "      <td>...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'title': [], 'url': 'http://store.is.autonav...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>4.5</td>\n",
       "      <td>29.00</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>B00140BPN7</td>\n",
       "      <td>B00140C5MN</td>\n",
       "      <td>201</td>\n",
       "      <td>麦当劳(王府井店)</td>\n",
       "      <td>板烧鸡腿堡麦乐鸡餐,吉士炒双蛋堡,菠萝厚牛堡,抹茶圆筒雪糕,扭扭薯条,菠萝派,麦香鱼汉堡大套...</td>\n",
       "      <td>餐饮服务;快餐厅;麦当劳</td>\n",
       "      <td>050302</td>\n",
       "      <td>diner</td>\n",
       "      <td>三育路44号首层</td>\n",
       "      <td>113.298527,23.129433</td>\n",
       "      <td>...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'title': [], 'url': 'http://store.is.autonav...</td>\n",
       "      <td>B00140C5MN</td>\n",
       "      <td>1</td>\n",
       "      <td>F1</td>\n",
       "      <td>TY0001610210100004_B00140BPN7</td>\n",
       "      <td>4.5</td>\n",
       "      <td>26.00</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>B00140WDOP</td>\n",
       "      <td>B00141J4HP</td>\n",
       "      <td>202</td>\n",
       "      <td>麦当劳(敦和店)</td>\n",
       "      <td>麦辣鸡腿堡鸡翅餐,烤芝士酱薯条,板烧鸡腿堡鸡翅餐,原味板烧鸡腿堡,麦辣鸡腿汉堡经典中薯条套餐...</td>\n",
       "      <td>餐饮服务;快餐厅;麦当劳</td>\n",
       "      <td>050302</td>\n",
       "      <td>diner</td>\n",
       "      <td>敦和路59号敦煌商业城1-2层</td>\n",
       "      <td>113.316483,23.089556</td>\n",
       "      <td>...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'title': [], 'url': 'http://store.is.autonav...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>4.5</td>\n",
       "      <td>28.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>B00140T88E</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>麦当劳餐厅</td>\n",
       "      <td>麦辣鸡翅,板烧鸡腿堡套餐,巨无霸套餐,麦辣鸡腿汉堡经典中薯条套餐,麦辣鸡腿堡套餐,芝士烧烤酱...</td>\n",
       "      <td>餐饮服务;快餐厅;麦当劳</td>\n",
       "      <td>050302</td>\n",
       "      <td>diner</td>\n",
       "      <td>盈丰路5号</td>\n",
       "      <td>113.296394,23.069387</td>\n",
       "      <td>...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
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       "      <td>4.5</td>\n",
       "      <td>26.00</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>B00140TXC7</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>麦当劳(人民中路店)</td>\n",
       "      <td>大脆鸡扒麦满分组合,板烧鸡腿堡套餐,脆炸薯饼,麦辣鸡腿汉堡经典中薯条套餐,广州麦鲜粥,板烧鸡...</td>\n",
       "      <td>餐饮服务;快餐厅;麦当劳</td>\n",
       "      <td>050302</td>\n",
       "      <td>diner</td>\n",
       "      <td>人民中路304-314号</td>\n",
       "      <td>113.253106,23.119482</td>\n",
       "      <td>...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'title': [], 'url': 'http://store.is.autonav...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>4.5</td>\n",
       "      <td>21.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>B00140AO1X</td>\n",
       "      <td>B0FFF5VU8X</td>\n",
       "      <td>202</td>\n",
       "      <td>麦当劳(伟城广场店)</td>\n",
       "      <td>板烧鸡腿堡鸡翅餐,烤芝士酱薯条,双层芝士汉堡,巨无霸套餐,芝士味圆筒雪糕,安格斯厚牛培根堡,...</td>\n",
       "      <td>餐饮服务;快餐厅;麦当劳</td>\n",
       "      <td>050302</td>\n",
       "      <td>diner</td>\n",
       "      <td>黄埔大道中207号伟诚广场1层(近程介村站)</td>\n",
       "      <td>113.367494,23.122013</td>\n",
       "      <td>...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'title': [], 'url': 'http://store.is.autonav...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>4.6</td>\n",
       "      <td>34.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>B00140B518</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>麦当劳(花都建设路店)</td>\n",
       "      <td>板烧鸡腿堡套餐,烤芝士酱薯条,甜筒,麦乐鸡块餐,香芋派,麦辣鸡翅汉堡,开心乐园餐配小玉米,巨...</td>\n",
       "      <td>餐饮服务;快餐厅;麦当劳</td>\n",
       "      <td>050302</td>\n",
       "      <td>diner</td>\n",
       "      <td>建设路20号(商业大道22号)</td>\n",
       "      <td>113.209845,23.375601</td>\n",
       "      <td>...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'title': [], 'url': 'http://store.is.autonav...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>4.6</td>\n",
       "      <td>29.00</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>B00140BVFX</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>麦当劳(新港西路店)</td>\n",
       "      <td>板烧鸡腿堡套餐,麦辣鸡腿汉堡经典中薯条套餐,雪糕,烤芝士酱薯条,麦辣鸡腿堡套餐,巨无霸套餐,...</td>\n",
       "      <td>餐饮服务;快餐厅;麦当劳</td>\n",
       "      <td>050302</td>\n",
       "      <td>diner</td>\n",
       "      <td>新港西路142号穗发花园3、4号楼</td>\n",
       "      <td>113.297885,23.090588</td>\n",
       "      <td>...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'title': [], 'url': 'http://store.is.autonav...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>4.4</td>\n",
       "      <td>27.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>B00140T5PE</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>麦当劳(江南酒店店)</td>\n",
       "      <td>板烧鸡腿堡鸡翅餐,板烧鸡腿堡套餐,麦辣鸡腿堡鸡翅餐,猪柳蛋麦满分,自创汉堡,扭扭薯条,甜筒,...</td>\n",
       "      <td>餐饮服务;快餐厅;麦当劳</td>\n",
       "      <td>050302</td>\n",
       "      <td>diner</td>\n",
       "      <td>江南大道中348号珀丽酒店1层</td>\n",
       "      <td>113.276376,23.091128</td>\n",
       "      <td>...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'title': [], 'url': 'http://store.is.autonav...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>4.5</td>\n",
       "      <td>22.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>B00140UM4J</td>\n",
       "      <td>B0FFHLE8VX</td>\n",
       "      <td>202</td>\n",
       "      <td>麦当劳(芳村店)</td>\n",
       "      <td>烤芝士酱薯条,板烧鸡腿堡套餐,蜜汁柠檬风味鸡翅,麦乐鸡块餐,巨无霸套餐,拿铁雪冰,麦香鱼汉堡...</td>\n",
       "      <td>餐饮服务;快餐厅;麦当劳</td>\n",
       "      <td>050302</td>\n",
       "      <td>diner</td>\n",
       "      <td>花地大道北93-103号花地城广场1、B1层</td>\n",
       "      <td>113.234135,23.092534</td>\n",
       "      <td>...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'title': [], 'url': 'http://store.is.autonav...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>4.5</td>\n",
       "      <td>23.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>B00140T1BA</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>麦当劳(东方时代广场分店)</td>\n",
       "      <td>麦辣鸡翅麦乐鸡餐,板烧鸡腿堡套餐,安格斯厚牛芝士堡,板烧鸡腿堡鸡翅餐,大薯条,甜筒,那么大鸡...</td>\n",
       "      <td>餐饮服务;快餐厅;麦当劳</td>\n",
       "      <td>050302</td>\n",
       "      <td>diner</td>\n",
       "      <td>流花路东方宾馆东翼商场首、二层</td>\n",
       "      <td>113.259380,23.140249</td>\n",
       "      <td>...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'title': [], 'url': 'http://store.is.autonav...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>4.4</td>\n",
       "      <td>23.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>B00140T0ZF</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>麦当劳(流花宾馆分店)</td>\n",
       "      <td>麦辣鸡腿堡套餐,巨无霸套餐,大薯,麦辣鸡翅,麦辣鸡腿汉堡经典中薯条套餐,板烧鸡腿堡套餐,板烧...</td>\n",
       "      <td>餐饮服务;快餐厅;麦当劳</td>\n",
       "      <td>050302</td>\n",
       "      <td>diner</td>\n",
       "      <td>环市西路194号流花宾馆1层</td>\n",
       "      <td>113.255826,23.146628</td>\n",
       "      <td>...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'title': '小金猪蛋糕', 'url': 'http://store.is.au...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>4.1</td>\n",
       "      <td>34.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>B00140T4W9</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>麦当劳(宝业路分店)</td>\n",
       "      <td>麦辣鸡翅麦乐鸡餐,板烧鸡腿堡麦乐鸡餐,大脆鸡扒麦满分,可乐鸡翅,板烧鸡腿堡套餐,鲜煮咖啡,不...</td>\n",
       "      <td>餐饮服务;快餐厅;麦当劳</td>\n",
       "      <td>050302</td>\n",
       "      <td>diner</td>\n",
       "      <td>宝业路6号A栋</td>\n",
       "      <td>113.266250,23.092721</td>\n",
       "      <td>...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'title': [], 'url': 'http://store.is.autonav...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>4.5</td>\n",
       "      <td>26.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>B00140UEQE</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>麦当劳(金融大厦店)</td>\n",
       "      <td>双层深海狭鳕鱼堡套餐,原味板烧鸡腿堡,开心乐园餐配小薯条,麦辣鸡翅麦乐鸡餐,双层吉士汉堡,芝...</td>\n",
       "      <td>餐饮服务;快餐厅;麦当劳</td>\n",
       "      <td>050302</td>\n",
       "      <td>diner</td>\n",
       "      <td>东风西路197-199号广州国际金融大厦B1层</td>\n",
       "      <td>113.257862,23.132669</td>\n",
       "      <td>...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'title': [], 'url': 'http://store.is.autonav...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>4.6</td>\n",
       "      <td>21.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>B0FFFAIT8W</td>\n",
       "      <td>B00141TBY6</td>\n",
       "      <td>202</td>\n",
       "      <td>麦当劳(狮岭盘古路店)</td>\n",
       "      <td>麦辣鸡翅麦乐鸡餐,那么大鸡排,川辣双鸡堡套餐,开心乐园餐配小玉米,板烧鸡腿堡鸡翅餐,麦辣鸡腿...</td>\n",
       "      <td>餐饮服务;快餐厅;麦当劳</td>\n",
       "      <td>050302</td>\n",
       "      <td>diner</td>\n",
       "      <td>盘古路与东升中路交界友田商业广场C幢C03、,C118、101-102号</td>\n",
       "      <td>113.155205,23.461940</td>\n",
       "      <td>...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'title': [], 'url': 'http://store.is.autonav...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>4.6</td>\n",
       "      <td>28.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>B00140UOGZ</td>\n",
       "      <td>B0FFFV1FW8</td>\n",
       "      <td>201</td>\n",
       "      <td>麦当劳(同和圣地店)</td>\n",
       "      <td>麦辣鸡腿堡套餐,团圆堡麦乐鸡组合,麦辣鸡腿堡鸡翅餐,草莓派,甜筒,超级肉酱薯条,三翅,星厨鲜...</td>\n",
       "      <td>餐饮服务;快餐厅;麦当劳</td>\n",
       "      <td>050302</td>\n",
       "      <td>diner</td>\n",
       "      <td>广州大道北1420号圣地购物广场F1层</td>\n",
       "      <td>113.322035,23.181423</td>\n",
       "      <td>...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'title': [], 'url': 'http://store.is.autonav...</td>\n",
       "      <td>B0FFFV1FW8</td>\n",
       "      <td>2</td>\n",
       "      <td>F2</td>\n",
       "      <td>GD0023020210200038</td>\n",
       "      <td>4.5</td>\n",
       "      <td>26.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>B00140V08O</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>麦当劳(番禺宾馆店)</td>\n",
       "      <td>板烧鸡腿堡鸡翅餐,烤芝士酱薯条,麦辣鸡腿堡鸡翅餐,超值早餐,麦辣鸡翅麦乐鸡餐,红豆新地,麦辣...</td>\n",
       "      <td>餐饮服务;快餐厅;麦当劳</td>\n",
       "      <td>050302</td>\n",
       "      <td>diner</td>\n",
       "      <td>市桥镇大北路140号</td>\n",
       "      <td>113.366354,22.942868</td>\n",
       "      <td>...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'title': [], 'url': 'http://store.is.autonav...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>4.5</td>\n",
       "      <td>22.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>B00140CJXD</td>\n",
       "      <td>B00141SX7W</td>\n",
       "      <td>202</td>\n",
       "      <td>麦当劳(新塘国际店)</td>\n",
       "      <td>麦辣鸡翅,麦脆鸡盒,麦辣鸡腿堡套餐,板烧鸡腿堡套餐,麦趣鸡盒,辣翅套餐,麦辣鸡腿汉堡经典中薯...</td>\n",
       "      <td>餐饮服务;快餐厅;麦当劳</td>\n",
       "      <td>050302</td>\n",
       "      <td>diner</td>\n",
       "      <td>新塘镇荔新公路汇创国贸大厦1层</td>\n",
       "      <td>113.614253,23.124261</td>\n",
       "      <td>...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[{'title': [], 'url': 'http://store.is.autonav...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>4.6</td>\n",
       "      <td>28.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 47 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            id      parent childtype           name  \\\n",
       "0   B00140NXS3          []        []       麦当劳(龙洞店)   \n",
       "1   B00140TXAV          []        []       麦当劳(黄石路)   \n",
       "2   B00141IMI9          []        []     麦当劳(儿童公园店)   \n",
       "3   B00140BPN7  B00140C5MN       201      麦当劳(王府井店)   \n",
       "4   B00140WDOP  B00141J4HP       202       麦当劳(敦和店)   \n",
       "5   B00140T88E          []        []          麦当劳餐厅   \n",
       "6   B00140TXC7          []        []     麦当劳(人民中路店)   \n",
       "7   B00140AO1X  B0FFF5VU8X       202     麦当劳(伟城广场店)   \n",
       "8   B00140B518          []        []    麦当劳(花都建设路店)   \n",
       "9   B00140BVFX          []        []     麦当劳(新港西路店)   \n",
       "10  B00140T5PE          []        []     麦当劳(江南酒店店)   \n",
       "11  B00140UM4J  B0FFHLE8VX       202       麦当劳(芳村店)   \n",
       "12  B00140T1BA          []        []  麦当劳(东方时代广场分店)   \n",
       "13  B00140T0ZF          []        []    麦当劳(流花宾馆分店)   \n",
       "14  B00140T4W9          []        []     麦当劳(宝业路分店)   \n",
       "15  B00140UEQE          []        []     麦当劳(金融大厦店)   \n",
       "16  B0FFFAIT8W  B00141TBY6       202    麦当劳(狮岭盘古路店)   \n",
       "17  B00140UOGZ  B0FFFV1FW8       201     麦当劳(同和圣地店)   \n",
       "18  B00140V08O          []        []     麦当劳(番禺宾馆店)   \n",
       "19  B00140CJXD  B00141SX7W       202     麦当劳(新塘国际店)   \n",
       "\n",
       "                                                  tag          type typecode  \\\n",
       "0   板烧鸡腿堡麦乐鸡餐,麦辣鸡腿堡鸡翅餐,甜筒,油条培根蛋麦煎饼配脆薯饼,雪糕,麦香鸡汉堡,板烧...  餐饮服务;快餐厅;麦当劳   050302   \n",
       "1   买珍珠奶茶送麦辣鸡翅,香芋派,巨无霸套餐,烤芝士酱薯条,麦辣鸡腿堡套餐,板烧鸡腿堡套餐,麦当...  餐饮服务;快餐厅;麦当劳   050302   \n",
       "2   芝士烧烤酱风味薯条,麦辣鸡翅麦乐鸡餐,麦辣鸡腿堡套餐,安格斯厚牛芝士堡,双层深海狭鳕鱼堡套餐...  餐饮服务;快餐厅;麦当劳   050302   \n",
       "3   板烧鸡腿堡麦乐鸡餐,吉士炒双蛋堡,菠萝厚牛堡,抹茶圆筒雪糕,扭扭薯条,菠萝派,麦香鱼汉堡大套...  餐饮服务;快餐厅;麦当劳   050302   \n",
       "4   麦辣鸡腿堡鸡翅餐,烤芝士酱薯条,板烧鸡腿堡鸡翅餐,原味板烧鸡腿堡,麦辣鸡腿汉堡经典中薯条套餐...  餐饮服务;快餐厅;麦当劳   050302   \n",
       "5   麦辣鸡翅,板烧鸡腿堡套餐,巨无霸套餐,麦辣鸡腿汉堡经典中薯条套餐,麦辣鸡腿堡套餐,芝士烧烤酱...  餐饮服务;快餐厅;麦当劳   050302   \n",
       "6   大脆鸡扒麦满分组合,板烧鸡腿堡套餐,脆炸薯饼,麦辣鸡腿汉堡经典中薯条套餐,广州麦鲜粥,板烧鸡...  餐饮服务;快餐厅;麦当劳   050302   \n",
       "7   板烧鸡腿堡鸡翅餐,烤芝士酱薯条,双层芝士汉堡,巨无霸套餐,芝士味圆筒雪糕,安格斯厚牛培根堡,...  餐饮服务;快餐厅;麦当劳   050302   \n",
       "8   板烧鸡腿堡套餐,烤芝士酱薯条,甜筒,麦乐鸡块餐,香芋派,麦辣鸡翅汉堡,开心乐园餐配小玉米,巨...  餐饮服务;快餐厅;麦当劳   050302   \n",
       "9   板烧鸡腿堡套餐,麦辣鸡腿汉堡经典中薯条套餐,雪糕,烤芝士酱薯条,麦辣鸡腿堡套餐,巨无霸套餐,...  餐饮服务;快餐厅;麦当劳   050302   \n",
       "10  板烧鸡腿堡鸡翅餐,板烧鸡腿堡套餐,麦辣鸡腿堡鸡翅餐,猪柳蛋麦满分,自创汉堡,扭扭薯条,甜筒,...  餐饮服务;快餐厅;麦当劳   050302   \n",
       "11  烤芝士酱薯条,板烧鸡腿堡套餐,蜜汁柠檬风味鸡翅,麦乐鸡块餐,巨无霸套餐,拿铁雪冰,麦香鱼汉堡...  餐饮服务;快餐厅;麦当劳   050302   \n",
       "12  麦辣鸡翅麦乐鸡餐,板烧鸡腿堡套餐,安格斯厚牛芝士堡,板烧鸡腿堡鸡翅餐,大薯条,甜筒,那么大鸡...  餐饮服务;快餐厅;麦当劳   050302   \n",
       "13  麦辣鸡腿堡套餐,巨无霸套餐,大薯,麦辣鸡翅,麦辣鸡腿汉堡经典中薯条套餐,板烧鸡腿堡套餐,板烧...  餐饮服务;快餐厅;麦当劳   050302   \n",
       "14  麦辣鸡翅麦乐鸡餐,板烧鸡腿堡麦乐鸡餐,大脆鸡扒麦满分,可乐鸡翅,板烧鸡腿堡套餐,鲜煮咖啡,不...  餐饮服务;快餐厅;麦当劳   050302   \n",
       "15  双层深海狭鳕鱼堡套餐,原味板烧鸡腿堡,开心乐园餐配小薯条,麦辣鸡翅麦乐鸡餐,双层吉士汉堡,芝...  餐饮服务;快餐厅;麦当劳   050302   \n",
       "16  麦辣鸡翅麦乐鸡餐,那么大鸡排,川辣双鸡堡套餐,开心乐园餐配小玉米,板烧鸡腿堡鸡翅餐,麦辣鸡腿...  餐饮服务;快餐厅;麦当劳   050302   \n",
       "17  麦辣鸡腿堡套餐,团圆堡麦乐鸡组合,麦辣鸡腿堡鸡翅餐,草莓派,甜筒,超级肉酱薯条,三翅,星厨鲜...  餐饮服务;快餐厅;麦当劳   050302   \n",
       "18  板烧鸡腿堡鸡翅餐,烤芝士酱薯条,麦辣鸡腿堡鸡翅餐,超值早餐,麦辣鸡翅麦乐鸡餐,红豆新地,麦辣...  餐饮服务;快餐厅;麦当劳   050302   \n",
       "19  麦辣鸡翅,麦脆鸡盒,麦辣鸡腿堡套餐,板烧鸡腿堡套餐,麦趣鸡盒,辣翅套餐,麦辣鸡腿汉堡经典中薯...  餐饮服务;快餐厅;麦当劳   050302   \n",
       "\n",
       "   biz_type                               address              location  ...  \\\n",
       "0     diner                           广汕一路15号龙洞牌坊  113.368278,23.193663  ...   \n",
       "1     diner                      黄石西路457-459号1-2层  113.256340,23.205263  ...   \n",
       "2     diner                         人民南路88号少年坊B1层  113.253868,23.111638  ...   \n",
       "3     diner                              三育路44号首层  113.298527,23.129433  ...   \n",
       "4     diner                       敦和路59号敦煌商业城1-2层  113.316483,23.089556  ...   \n",
       "5     diner                                 盈丰路5号  113.296394,23.069387  ...   \n",
       "6     diner                          人民中路304-314号  113.253106,23.119482  ...   \n",
       "7     diner                黄埔大道中207号伟诚广场1层(近程介村站)  113.367494,23.122013  ...   \n",
       "8     diner                       建设路20号(商业大道22号)  113.209845,23.375601  ...   \n",
       "9     diner                     新港西路142号穗发花园3、4号楼  113.297885,23.090588  ...   \n",
       "10    diner                       江南大道中348号珀丽酒店1层  113.276376,23.091128  ...   \n",
       "11    diner                花地大道北93-103号花地城广场1、B1层  113.234135,23.092534  ...   \n",
       "12    diner                       流花路东方宾馆东翼商场首、二层  113.259380,23.140249  ...   \n",
       "13    diner                        环市西路194号流花宾馆1层  113.255826,23.146628  ...   \n",
       "14    diner                               宝业路6号A栋  113.266250,23.092721  ...   \n",
       "15    diner               东风西路197-199号广州国际金融大厦B1层  113.257862,23.132669  ...   \n",
       "16    diner  盘古路与东升中路交界友田商业广场C幢C03、,C118、101-102号  113.155205,23.461940  ...   \n",
       "17    diner                   广州大道北1420号圣地购物广场F1层  113.322035,23.181423  ...   \n",
       "18    diner                            市桥镇大北路140号  113.366354,22.942868  ...   \n",
       "19    diner                       新塘镇荔新公路汇创国贸大厦1层  113.614253,23.124261  ...   \n",
       "\n",
       "   event children                                             photos  \\\n",
       "0     []       []  [{'title': [], 'url': 'http://store.is.autonav...   \n",
       "1     []       []  [{'title': [], 'url': 'http://store.is.autonav...   \n",
       "2     []       []  [{'title': [], 'url': 'http://store.is.autonav...   \n",
       "3     []       []  [{'title': [], 'url': 'http://store.is.autonav...   \n",
       "4     []       []  [{'title': [], 'url': 'http://store.is.autonav...   \n",
       "5     []       []  [{'title': [], 'url': 'http://store.is.autonav...   \n",
       "6     []       []  [{'title': [], 'url': 'http://store.is.autonav...   \n",
       "7     []       []  [{'title': [], 'url': 'http://store.is.autonav...   \n",
       "8     []       []  [{'title': [], 'url': 'http://store.is.autonav...   \n",
       "9     []       []  [{'title': [], 'url': 'http://store.is.autonav...   \n",
       "10    []       []  [{'title': [], 'url': 'http://store.is.autonav...   \n",
       "11    []       []  [{'title': [], 'url': 'http://store.is.autonav...   \n",
       "12    []       []  [{'title': [], 'url': 'http://store.is.autonav...   \n",
       "13    []       []  [{'title': '小金猪蛋糕', 'url': 'http://store.is.au...   \n",
       "14    []       []  [{'title': [], 'url': 'http://store.is.autonav...   \n",
       "15    []       []  [{'title': [], 'url': 'http://store.is.autonav...   \n",
       "16    []       []  [{'title': [], 'url': 'http://store.is.autonav...   \n",
       "17    []       []  [{'title': [], 'url': 'http://store.is.autonav...   \n",
       "18    []       []  [{'title': [], 'url': 'http://store.is.autonav...   \n",
       "19    []       []  [{'title': [], 'url': 'http://store.is.autonav...   \n",
       "\n",
       "   indoor_data.cpid indoor_data.floor indoor_data.truefloor  \\\n",
       "0                []                []                    []   \n",
       "1                []                []                    []   \n",
       "2                []                []                    []   \n",
       "3        B00140C5MN                 1                    F1   \n",
       "4                []                []                    []   \n",
       "5                []                []                    []   \n",
       "6                []                []                    []   \n",
       "7                []                []                    []   \n",
       "8                []                []                    []   \n",
       "9                []                []                    []   \n",
       "10               []                []                    []   \n",
       "11               []                []                    []   \n",
       "12               []                []                    []   \n",
       "13               []                []                    []   \n",
       "14               []                []                    []   \n",
       "15               []                []                    []   \n",
       "16               []                []                    []   \n",
       "17       B0FFFV1FW8                 2                    F2   \n",
       "18               []                []                    []   \n",
       "19               []                []                    []   \n",
       "\n",
       "                indoor_data.cmsid biz_ext.rating biz_ext.cost  \\\n",
       "0                              []            4.5        30.00   \n",
       "1                              []            4.5        25.00   \n",
       "2                              []            4.5        29.00   \n",
       "3   TY0001610210100004_B00140BPN7            4.5        26.00   \n",
       "4                              []            4.5        28.00   \n",
       "5                              []            4.5        26.00   \n",
       "6                              []            4.5        21.00   \n",
       "7                              []            4.6        34.00   \n",
       "8                              []            4.6        29.00   \n",
       "9                              []            4.4        27.00   \n",
       "10                             []            4.5        22.00   \n",
       "11                             []            4.5        23.00   \n",
       "12                             []            4.4        23.00   \n",
       "13                             []            4.1        34.00   \n",
       "14                             []            4.5        26.00   \n",
       "15                             []            4.6        21.00   \n",
       "16                             []            4.6        28.00   \n",
       "17             GD0023020210200038            4.5        26.00   \n",
       "18                             []            4.5        22.00   \n",
       "19                             []            4.6        28.00   \n",
       "\n",
       "   biz_ext.meal_ordering  \n",
       "0                      0  \n",
       "1                      0  \n",
       "2                      0  \n",
       "3                      0  \n",
       "4                      0  \n",
       "5                      0  \n",
       "6                      0  \n",
       "7                      0  \n",
       "8                      0  \n",
       "9                      0  \n",
       "10                     0  \n",
       "11                     0  \n",
       "12                     0  \n",
       "13                     0  \n",
       "14                     0  \n",
       "15                     0  \n",
       "16                     0  \n",
       "17                     0  \n",
       "18                     0  \n",
       "19                     0  \n",
       "\n",
       "[20 rows x 47 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "广州_麦当劳 = POI(keywords=None,types=\"麦当劳\",city=\"广州市\",children=1,extensions=\"all\",page=3)\n",
    "print(广州_麦当劳)\n",
    "df_广州_麦当劳 = pd.json_normalize(广州_麦当劳[\"pois\"])\n",
    "df_广州_麦当劳"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# IP定位\n",
    "### 介绍  \n",
    "IP定位是一个简单的HTTP接口，根据用户输入的IP地址，能够快速的帮用户定位IP的所在位置。\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import json\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'status': '1', 'info': 'OK', 'infocode': '10000', 'province': '广东省', 'city': '广州市', 'adcode': '440100', 'rectangle': '113.1017375,22.93212254;113.6770499,23.3809537'}\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>status</th>\n",
       "      <th>info</th>\n",
       "      <th>infocode</th>\n",
       "      <th>province</th>\n",
       "      <th>city</th>\n",
       "      <th>adcode</th>\n",
       "      <th>rectangle</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>OK</td>\n",
       "      <td>10000</td>\n",
       "      <td>广东省</td>\n",
       "      <td>广州市</td>\n",
       "      <td>440100</td>\n",
       "      <td>113.1017375,22.93212254;113.6770499,23.3809537</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  status info infocode province city  adcode  \\\n",
       "0      1   OK    10000      广东省  广州市  440100   \n",
       "\n",
       "                                        rectangle  \n",
       "0  113.1017375,22.93212254;113.6770499,23.3809537  "
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def IP(key,ip=None,sig=None,output=json)->dict:\n",
    "    '''获取高德API的IP定位'''\n",
    "    url = \" https://restapi.amap.com/v3/ip?parameters\"\n",
    "    params = {\n",
    "        \"key\":key_jw,\n",
    "        \"ip\":ip,\n",
    "        \"sig\":sig,\n",
    "        \"output\":json\n",
    "    }\n",
    "    r = requests.get(url,params=params)\n",
    "    result = r.json()\n",
    "    return result\n",
    "IP定位 = IP(key_jw,ip=None,sig=None,output=json)\n",
    "print(IP定位)\n",
    "df_IP定位 = pd.json_normalize(IP定位)\n",
    "df_IP定位"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 批量请求接口"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 介绍  \n",
    "批量接口通过用户传入合并后的请求，同时返回多个请求的顺序集合，目前最多支持20个子请求。 返回的顺序与子请求的顺序一致。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "import json\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'status': 200,\n",
       "  'body': {'suggestion': {'keywords': {}, 'cities': {}},\n",
       "   'info': 'OK',\n",
       "   'infocode': '10000',\n",
       "   'count': '869',\n",
       "   'pois': [{'typecode': '080104',\n",
       "     'adname': '海淀区',\n",
       "     'biz_type': {},\n",
       "     'id': 'B000A80AY3',\n",
       "     'pname': '北京市',\n",
       "     'importance': {},\n",
       "     'parent': 'B000A83H2R',\n",
       "     'location': '116.315311,39.960243',\n",
       "     'distance': '31',\n",
       "     'tel': {},\n",
       "     'biz_ext': {'rating': {}, 'cost': {}},\n",
       "     'shopid': {},\n",
       "     'address': '中关村南大街5号北京理工大学体育馆西侧',\n",
       "     'poiweight': {},\n",
       "     'childtype': '309',\n",
       "     'photos': [{'provider': {},\n",
       "       'title': {},\n",
       "       'url': 'http://store.is.autonavi.com/showpic/e1446c70a0c9ff1c17bdb342a5f4bd03'},\n",
       "      {'provider': {},\n",
       "       'title': '外景图',\n",
       "       'url': 'http://store.is.autonavi.com/showpic/4c4b636ab34792ceefba4d20ed9695f8'},\n",
       "      {'provider': {},\n",
       "       'title': '外景图',\n",
       "       'url': 'http://store.is.autonavi.com/showpic/159963f5131c253c4b930341d5329201'}],\n",
       "     'type': '体育休闲服务;运动场馆;篮球场馆',\n",
       "     'shopinfo': '0',\n",
       "     'name': '北京理工大学中关村校区篮球场(体育北路)(暂停营业)',\n",
       "     'cityname': '北京市'},\n",
       "    {'typecode': '080100',\n",
       "     'adname': '海淀区',\n",
       "     'biz_type': {},\n",
       "     'id': 'B000A9PI20',\n",
       "     'pname': '北京市',\n",
       "     'importance': {},\n",
       "     'parent': 'B000A83H2R',\n",
       "     'location': '116.315772,39.959267',\n",
       "     'distance': '92',\n",
       "     'tel': '010-68912536',\n",
       "     'biz_ext': {'rating': {}, 'cost': {}},\n",
       "     'shopid': {},\n",
       "     'address': '中关村南大街5号北京理工大学',\n",
       "     'poiweight': {},\n",
       "     'childtype': '309',\n",
       "     'photos': [{'provider': {},\n",
       "       'title': {},\n",
       "       'url': 'http://store.is.autonavi.com/showpic/538fe3d9a310b133764945bc'}],\n",
       "     'type': '体育休闲服务;运动场馆;运动场所',\n",
       "     'shopinfo': '0',\n",
       "     'name': '北京理工大学中关村校区东操场',\n",
       "     'cityname': '北京市'},\n",
       "    {'typecode': '080100',\n",
       "     'adname': '海淀区',\n",
       "     'biz_type': {},\n",
       "     'id': 'B000A7GWOC',\n",
       "     'pname': '北京市',\n",
       "     'importance': {},\n",
       "     'parent': 'B000A83H2R',\n",
       "     'location': '116.314534,39.959229',\n",
       "     'distance': '100',\n",
       "     'tel': '010-68912532;010-68915220',\n",
       "     'biz_ext': {'rating': '3.5', 'cost': {}},\n",
       "     'shopid': {},\n",
       "     'address': '中关村南大街5号北京理工大学',\n",
       "     'poiweight': {},\n",
       "     'childtype': '309',\n",
       "     'photos': [{'provider': {},\n",
       "       'title': {},\n",
       "       'url': 'http://store.is.autonavi.com/showpic/2967cf1d2b56b6b412572a16c800ca3a'},\n",
       "      {'provider': {},\n",
       "       'title': {},\n",
       "       'url': 'http://store.is.autonavi.com/showpic/9f506c9ae860890293dd0b9e80280417'},\n",
       "      {'provider': {},\n",
       "       'title': {},\n",
       "       'url': 'http://store.is.autonavi.com/showpic/9240e678182b0ab6b72d56e1ac311d25'}],\n",
       "     'type': '体育休闲服务;运动场馆;运动场所',\n",
       "     'shopinfo': '0',\n",
       "     'name': '北京理工大学中关村校区体育馆',\n",
       "     'cityname': '北京市'},\n",
       "    {'typecode': '080000',\n",
       "     'adname': '海淀区',\n",
       "     'biz_type': {},\n",
       "     'id': 'B0FFFSW056',\n",
       "     'pname': '北京市',\n",
       "     'importance': {},\n",
       "     'parent': {},\n",
       "     'location': '116.313960,39.959720',\n",
       "     'distance': '109',\n",
       "     'tel': '010-57796607;18600065292',\n",
       "     'biz_ext': {'rating': {}, 'cost': {}},\n",
       "     'shopid': {},\n",
       "     'address': '中关村南大街5号北京理工大学',\n",
       "     'poiweight': {},\n",
       "     'childtype': {},\n",
       "     'photos': [{'provider': {},\n",
       "       'title': {},\n",
       "       'url': 'http://store.is.autonavi.com/showpic/9bafd7956ddd3575ba598f23fb16b62c'},\n",
       "      {'provider': {},\n",
       "       'title': {},\n",
       "       'url': 'http://store.is.autonavi.com/showpic/f70e91b57f874e89a29576bb9b6dfa23'},\n",
       "      {'provider': {},\n",
       "       'title': {},\n",
       "       'url': 'http://store.is.autonavi.com/showpic/6e83fe5141af7c07915355be286cfc5e'}],\n",
       "     'type': '体育休闲服务;体育休闲服务场所;体育休闲服务场所',\n",
       "     'shopinfo': '0',\n",
       "     'name': '享动青少年足球俱乐部(北理工店)',\n",
       "     'cityname': '北京市'},\n",
       "    {'typecode': '080105',\n",
       "     'adname': '海淀区',\n",
       "     'biz_type': {},\n",
       "     'id': 'B0FFG3YKNR',\n",
       "     'pname': '北京市',\n",
       "     'importance': {},\n",
       "     'parent': 'B000A83H2R',\n",
       "     'location': '116.315732,39.958993',\n",
       "     'distance': '118',\n",
       "     'tel': {},\n",
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       "   'Content-Type': 'application/json;charset=UTF-8',\n",
       "   'Access-Control-Allow-Methods': '*',\n",
       "   'Access-Control-Allow-Origin': '*',\n",
       "   'sc': '0.091',\n",
       "   'Content-Length': 7012,\n",
       "   'Access-Control-Allow-Headers': 'DNT,X-CustomHeader,Keep-Alive,User-Agent,X-Requested-With,If-Modified-Since,Cache-Control,Content-Type,key,x-biz,x-info,platinfo,encr,enginever,gzipped,poiid'}}]"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def batch(url=\"/v3/place/around?offset=10&page=1&key=99b6fd576c6cb06dc071b44d30935237&location=116.315196,39.959971&output=json&radius=100000&types=080000\"):\n",
    "    '''获取高德API批量请求接口'''\n",
    "    parameters = {\n",
    "        \"key\":key_jw,\n",
    "    }\n",
    "    body = {\n",
    "        \"ops\":[\n",
    "            {\n",
    "                \"url\":'{}'.format(url)\n",
    "            },\n",
    "            {\n",
    "                \"url\":\"/v3/place/around?offset=10&page=1&key=99b6fd576c6cb06dc071b44d30935237&location=116.315196,39.959971&output=json&radius=100000&types=080000\"\n",
    "            }\n",
    "        ]\n",
    "    }\n",
    "    response = requests.get(\"https://restapi.amap.com/v3/batch?\",params = parameters,json=body)\n",
    "    data = response.json()\n",
    "    return data\n",
    "batch()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 静态地图\n",
    "### 介绍  \n",
    "静态地图服务通过返回一张地图图片响应HTTP请求，使用户能够将高德地图以图片形式嵌入自己的网页中。用户可以指定请求的地图位置、图片大小、以及在地图上添加覆盖物，如标签、标注、折线、多边形。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "from PIL import Image\n",
    "from io import BytesIO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=P size=400x400 at 0x29A5D098190>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def staticmap(key,location=\"113.680117,23.631544\",zoom=[1,17],size=None,scale=1,markers=None,labels=None,paths=None,traffic=0,sig=None,output=json)->dict:# 中山大学南方学院-综合楼\n",
    "    '''获取高德API静态地图'''\n",
    "    url = \"https://restapi.amap.com/v3/staticmap?parameters\"\n",
    "    params = {\n",
    "        \"key\":key_jw,\n",
    "        \"location\":location,\n",
    "        \"zoom\":zoom,\n",
    "        \"size\":size,\n",
    "        \"markers\":markers,\n",
    "        \"labels\":labels,\n",
    "        \"paths\":paths,\n",
    "        \"traffic\":traffic,\n",
    "        \"sig\":sig,\n",
    "        \"output\":json\n",
    "    }\n",
    "    r = requests.get(url,params=params)\n",
    "    result = Image.open(BytesIO(r.content))\n",
    "    return result\n",
    "staticmap(key= \"key_jw\",location=\"113.680117,23.631544\",zoom=15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 坐标转换\n",
    "### 介绍\n",
    "坐标转换是一类简单的HTTP接口，能够将用户输入的非高德坐标（GPS坐标、mapbar坐标、baidu坐标）转换成高德坐标。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'status': '1', 'info': 'ok', 'infocode': '10000', 'locations': '113.679287,23.632575'}\n"
     ]
    },
    {
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>status</th>\n",
       "      <th>info</th>\n",
       "      <th>infocode</th>\n",
       "      <th>locations</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>ok</td>\n",
       "      <td>10000</td>\n",
       "      <td>113.679287,23.632575</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  status info infocode             locations\n",
       "0      1   ok    10000  113.679287,23.632575"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "   def convert(key,locations=\"113.679287,23.632575\",coordsys=None,sig=None,output=json)->dict:\n",
    "    '''获取坐标转换'''\n",
    "    url = \"https://restapi.amap.com/v3/assistant/coordinate/convert?parameters\"\n",
    "    params = {\n",
    "        \"key\":key_jw,\n",
    "        \"locations\":locations,\n",
    "        \"coordsys\":coordsys,\n",
    "        \"sig\":sig,\n",
    "        \"output\":json\n",
    "    }\n",
    "    r = requests.get(url,params=params)\n",
    "    result = r.json()\n",
    "    return result\n",
    "坐标转换 = convert(key=\"key_jw\",locations=\"113.679287,23.632575\")\n",
    "print(坐标转换)\n",
    "df_坐标转换 = pd.json_normalize(坐标转换)\n",
    "df_坐标转换"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 天气查询\n",
    "### 介绍\n",
    "天气查询是一个简单的HTTP接口，根据用户输入的adcode，查询目标区域当前/未来的天气情况。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'status': '1', 'count': '1', 'info': 'OK', 'infocode': '10000', 'lives': [{'province': '广东', 'city': '广州市', 'adcode': '440100', 'weather': '多云', 'temperature': '26', 'winddirection': '南', 'windpower': '≤3', 'humidity': '72', 'reporttime': '2020-11-17 15:52:44'}]}\n"
     ]
    },
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>status</th>\n",
       "      <th>count</th>\n",
       "      <th>info</th>\n",
       "      <th>infocode</th>\n",
       "      <th>lives</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>OK</td>\n",
       "      <td>10000</td>\n",
       "      <td>[{'province': '广东', 'city': '广州市', 'adcode': '...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  status count info infocode  \\\n",
       "0      1     1   OK    10000   \n",
       "\n",
       "                                               lives  \n",
       "0  [{'province': '广东', 'city': '广州市', 'adcode': '...  "
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def weather(key,city='广州市',extensions=None,output=json)->dict:\n",
    "    '''获取天气查询'''\n",
    "    url = 'https://restapi.amap.com/v3/weather/weatherInfo?parameters'\n",
    "    key = '5e511d55ece1791b213c4ef41b428738'\n",
    "    params = {\n",
    "        \"key\":key_jw,\n",
    "        \"city\":city,\n",
    "        \"extensions\":extensions,\n",
    "        \"output\":json\n",
    "    }\n",
    "    r = requests.get(url,params=params)\n",
    "    result = r.json()\n",
    "    return result\n",
    "weather_inquire = weather(key=\"key_jw\",city=\"广州市\")\n",
    "print(weather_inquire)\n",
    "df_weather_inquire = pd.json_normalize(weather_inquire)\n",
    "df_weather_inquire"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 输入提示\n",
    "### 介绍\n",
    "输入提示是一类简单的HTTP接口，提供根据用户输入的关键词查询返回建议列表。  \n",
    "\n",
    "### 适用场景\n",
    "在高德客户端的使用场景，输入“仙林”之后出现提示相关。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'status': '1', 'count': '10', 'info': 'OK', 'infocode': '10000', 'tips': [{'id': 'B036706ZVC', 'name': '麦当劳(春城得来速店)', 'district': '云南省昆明市官渡区', 'adcode': '530111', 'location': '102.726178,25.018438', 'address': '春城路166-168号上海沙龙首层', 'typecode': '050302', 'city': []}, {'id': 'B001C7XFZZ', 'name': '麦当劳(郫都区店)', 'district': '四川省成都市金牛区', 'adcode': '510106', 'location': '103.978189,30.724212', 'address': '蜀西路399号', 'typecode': '050300', 'city': []}, {'id': 'B001C806EK', 'name': '麦当劳(欢乐谷店)', 'district': '四川省成都市金牛区', 'adcode': '510106', 'location': '104.035489,30.719447', 'address': '沙西线1号华侨城公园广场', 'typecode': '050302', 'city': []}, {'id': 'B0FFF6RH4F', 'name': '麦当劳(地铁中心城店)', 'district': '四川省成都市青羊区', 'adcode': '510105', 'location': '104.065310,30.657614', 'address': '天府广场B1层', 'typecode': '050302', 'city': []}, {'id': 'B001C8059O', 'name': '麦当劳(软件园DT餐厅)', 'district': '四川省成都市武侯区', 'adcode': '510107', 'location': '104.070686,30.542893', 'address': '天府大道中段801号,天府软件园B区', 'typecode': '050302', 'city': []}, {'id': 'B001C80DKS', 'name': '麦当劳(五桂桥餐厅)', 'district': '四川省成都市成华区', 'adcode': '510108', 'location': '104.128358,30.636119', 'address': '迎晖路194号五桂桥客运站内', 'typecode': '050302', 'city': []}, {'id': 'B001C8OFKY', 'name': '麦当劳(成都东站)', 'district': '四川省成都市成华区', 'adcode': '510108', 'location': '104.143451,30.628907', 'address': '青衣江路成都东站候车大厅2层', 'typecode': '050302', 'city': []}, {'id': 'B001786OHS', 'name': '麦当劳(鲁能星城得来速店)', 'district': '重庆市渝北区', 'adcode': '500112', 'location': '106.560443,29.594875', 'address': '渝鲁大道666号鲁能新城7街区1层', 'typecode': '050302', 'city': []}, {'id': 'B001D0YL8Z', 'name': '麦当劳(北客站北店)', 'district': '陕西省西安市未央区', 'adcode': '610112', 'location': '108.938634,34.378386', 'address': '文景路北口西安北站F3层', 'typecode': '050302', 'city': []}, {'id': 'B0FFF657F1', 'name': '麦当劳(金莎国际店)', 'district': '陕西省西安市雁塔区', 'adcode': '610113', 'location': '108.947617,34.225757', 'address': '长安中路65号金莎国际广场一层', 'typecode': '050302', 'city': []}]}\n"
     ]
    },
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   ],
   "source": [
    "def inputtips(key,keywords='麦当劳',type=None,location=None,city=None,citylimit=\"true\",datatype=\"all\",sig=None,callback=None,output=json)->dict:\n",
    "    '''获取高德API提示'''\n",
    "    url = 'https://restapi.amap.com/v3/assistant/inputtips?parameters'\n",
    "    key = '5e511d55ece1791b213c4ef41b428738'\n",
    "    params = {\n",
    "        \"key\":key_jw,\n",
    "        \"keywords\":keywords,\n",
    "        \"type\":type,\n",
    "        \"location\":location,\n",
    "        \"city\":city,\n",
    "        \"citylimit\":citylimit,\n",
    "        \"datatype\":datatype,\n",
    "        \"sig\":sig,\n",
    "        \"callback\":callback,\n",
    "        \"output\":json\n",
    "    }\n",
    "    r = requests.get(url,params=params)\n",
    "    result = r.json()\n",
    "    return result\n",
    "inputtips = inputtips(key=\"key_jw\",keywords=\"麦当劳\")\n",
    "print(inputtips)\n",
    "df_inputtips = pd.json_normalize(inputtips)\n",
    "df_inputtips"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n"
   ]
  }
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